This document is a parts catalogue for Yamaha outboard motors. It contains part numbers, descriptions and other information for replacement parts. The parts are organized by section, with diagrams showing the parts for items like the top cowling, cylinder, crankcase, valve and other engine components. Abbreviations used in the catalogue are explained, along with notes on things like applicable serial numbers and quantity columns.
This document is a parts catalogue for Yamaha motorcycle models 6BV2, 6BW2, and 6BX2. It contains over 30 pages listing parts by section of the motorcycle, including the top cowling, cylinder, crankcase, valves, intake, and other systems. Each part is listed with the corresponding part number, description, and any remarks or application details. The document provides the necessary information and part numbers for technicians to reference when replacing or ordering parts for these Yamaha motorcycle models.
This parts catalog covers parts for Yamaha T110SE motorcycle models 5TP4 and 5TP5. It contains exploded diagrams and part numbers for engine, chassis, and electrical components. The document provides information on part numbering conventions, applicable serial numbers, and abbreviations used. Replacement part numbers are given to correctly order parts.
This parts catalog is for the Yamaha YZF-R1 motorcycle model 5JJ8 for the European market. It provides an overview of the catalog layout and conventions. The document outlines how the catalog is organized, including part numbering, applicable serial numbers, assemblies, quantities, and other information to correctly identify replacement parts.
This parts catalogue document provides information for replacement parts for a Yamaha SX-4 motorcycle model. It includes an overview section explaining how to use the catalogue, abbreviations used, and applicable serial numbers. The document then lists detailed parts diagrams, part numbers, descriptions and quantities for each system of the motorcycle, including the engine, chassis, and electrical components.
This parts catalog covers the RX-King(3KAF) motorcycle made by Yamaha Motor Co., Ltd. It contains over 40 pages of detailed parts listings and diagrams for the engine, chassis, and electrical systems. The parts are organized by category and include the part number, description, quantity, and any remarks or additional part numbers. This catalog is the first edition from March 2004 and is intended to help identify correct replacement parts when ordering.
This document is a parts catalog for Yamaha EF2600D and EF2600 engines. It contains 10 sections that list and describe all replacement parts for these engines, including the cylinder, crankshaft, camshaft, carburetor, exhaust, crankcase, and frame. Each part is listed by number, name, and quantity required. Additional information provided includes applicable serial numbers, part markings, and corrections from previous editions.
This document is a parts catalogue for Yamaha motorcycle models 6BV2, 6BW2, and 6BX2. It contains over 30 pages listing parts by section of the motorcycle, including the top cowling, cylinder, crankcase, valves, intake, and other systems. Each part is listed with the corresponding part number, description, and any remarks or application details. The document provides the necessary information and part numbers for technicians to reference when replacing or ordering parts for these Yamaha motorcycle models.
This parts catalog covers parts for Yamaha T110SE motorcycle models 5TP4 and 5TP5. It contains exploded diagrams and part numbers for engine, chassis, and electrical components. The document provides information on part numbering conventions, applicable serial numbers, and abbreviations used. Replacement part numbers are given to correctly order parts.
This parts catalog is for the Yamaha YZF-R1 motorcycle model 5JJ8 for the European market. It provides an overview of the catalog layout and conventions. The document outlines how the catalog is organized, including part numbering, applicable serial numbers, assemblies, quantities, and other information to correctly identify replacement parts.
This parts catalogue document provides information for replacement parts for a Yamaha SX-4 motorcycle model. It includes an overview section explaining how to use the catalogue, abbreviations used, and applicable serial numbers. The document then lists detailed parts diagrams, part numbers, descriptions and quantities for each system of the motorcycle, including the engine, chassis, and electrical components.
This parts catalog covers the RX-King(3KAF) motorcycle made by Yamaha Motor Co., Ltd. It contains over 40 pages of detailed parts listings and diagrams for the engine, chassis, and electrical systems. The parts are organized by category and include the part number, description, quantity, and any remarks or additional part numbers. This catalog is the first edition from March 2004 and is intended to help identify correct replacement parts when ordering.
This document is a parts catalog for Yamaha EF2600D and EF2600 engines. It contains 10 sections that list and describe all replacement parts for these engines, including the cylinder, crankshaft, camshaft, carburetor, exhaust, crankcase, and frame. Each part is listed by number, name, and quantity required. Additional information provided includes applicable serial numbers, part markings, and corrections from previous editions.
This document is a parts catalogue for a Yamaha BF42 outboard motor. It provides part numbers, descriptions and quantities for replacement parts. The parts are organized by category such as engine, chassis, and electrical components. Information is also provided on applicable serial numbers, colours, and modifications made after publication.
This document is a parts catalogue for a Yamaha FZ150 motorcycle. It provides information on ordering replacement parts, including part numbers, descriptions and quantities needed for assemblies. The catalogue is organized by major systems of the motorcycle such as engine, chassis, electrical and optional parts. Each section includes diagrams identifying individual parts and their corresponding part numbers.
This document is a parts catalogue for a Yamaha motorcycle model LNS125 (BF43) that contains information about replacement parts. It includes sections for the engine, chassis, and electrical components with diagrams and part numbers. The parts catalogue notes that modifications after publication will be in Parts News, uses abbreviations to identify part types, and provides information on applicable serial numbers and colours.
This document provides a parts catalogue for an Xpulse 200 motorcycle from May 2019. It contains over 150 part numbers, descriptions and quantities for various engine parts grouped into categories like cylinder head, crankcase, clutch, electricals and more. The high level groups include cylinders & cylinder head, cam shaft, crank case & cover, clutch, electricals like AC generator and starter motor, oil pump assembly, crank shaft, and pistons.
This document is a parts catalogue for a Yamaha T135 motorcycle. It includes part numbers, descriptions and other details for engine, chassis and other systems parts. The document contains sections for the cylinder head, crankshaft, valves, camshaft, water pump, radiator, and other major component groups. Diagrams and part lists are provided to help identify replacement parts.
1. The document is a parts list for servicing a Scoopy motorcycle, listing 19 parts needed for the oil pump repair with descriptions and quantities.
2. Some key parts listed include the oil pump assembly, inner and outer rotors, a driven gear, mounting bolts and screws.
3. Repair of the oil pump requires removing and installing the engine to access the internals.
CATALOGO DE PIEZAS MOTOR FZS6Y Y FZS6YC YAMAHAMICHAELCLEVES
This parts catalogue document contains information for replacing parts for a Yamaha motorcycle model. It provides part numbers, descriptions and quantities for engine and chassis components. Instructions are included on how to reference the correct part numbers and apply any necessary corrections from parts news updates. Colour codes and applicable serial numbers are also listed.
This document is a parts catalog for a Yamaha GPD150 motorcycle that lists parts by figure and reference number. It provides information on applicable serial numbers, colors, and notes abbreviations and numbering conventions used in the catalog. The catalog contains sections listing engine, chassis, and electrical parts in detail.
This document contains a list of part numbers, revisions, pages and titles for various electrical drawings related to a DataPlace LCL system. It includes assemblies for printed circuit boards, electrical panels, sensors and other electrical and electronic components. Revisions provide information on changes made to drawings and released versions.
This document is the parts catalog for a Yamaha RX115 motorcycle. It contains information about motorcycle parts including the engine, transmission, frame, electrical components, and more. The parts are organized by section and figure number. Information provided for each part includes the part number, description, quantity if it is part of an assembly, and any notes. Abbreviations used in the catalog and general information about ordering parts are provided in the preface section.
This document provides parts information for a Yamaha YZF155 motorcycle. It includes:
1) An introduction and overview of the parts catalog structure and numbering system.
2) Detailed parts diagrams and lists for the engine, chassis, and other systems. Each part is identified by number and name.
3) Information on applicable serial numbers, colors, and other specifications to ensure the correct parts are ordered.
This parts catalogue covers service parts for Suzuki outboard motors including DT25/30, DT30, and DT30R models from 2012. It provides exploded diagrams of the cylinder assembly for each model and the crankshaft assembly, listing all component parts, part numbers, and quantities required. Instructions are provided for using the catalogue and interpreting part numbers, dimensions, and other specifications.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
This document is a parts catalogue for a Yamaha BF42 outboard motor. It provides part numbers, descriptions and quantities for replacement parts. The parts are organized by category such as engine, chassis, and electrical components. Information is also provided on applicable serial numbers, colours, and modifications made after publication.
This document is a parts catalogue for a Yamaha FZ150 motorcycle. It provides information on ordering replacement parts, including part numbers, descriptions and quantities needed for assemblies. The catalogue is organized by major systems of the motorcycle such as engine, chassis, electrical and optional parts. Each section includes diagrams identifying individual parts and their corresponding part numbers.
This document is a parts catalogue for a Yamaha motorcycle model LNS125 (BF43) that contains information about replacement parts. It includes sections for the engine, chassis, and electrical components with diagrams and part numbers. The parts catalogue notes that modifications after publication will be in Parts News, uses abbreviations to identify part types, and provides information on applicable serial numbers and colours.
This document provides a parts catalogue for an Xpulse 200 motorcycle from May 2019. It contains over 150 part numbers, descriptions and quantities for various engine parts grouped into categories like cylinder head, crankcase, clutch, electricals and more. The high level groups include cylinders & cylinder head, cam shaft, crank case & cover, clutch, electricals like AC generator and starter motor, oil pump assembly, crank shaft, and pistons.
This document is a parts catalogue for a Yamaha T135 motorcycle. It includes part numbers, descriptions and other details for engine, chassis and other systems parts. The document contains sections for the cylinder head, crankshaft, valves, camshaft, water pump, radiator, and other major component groups. Diagrams and part lists are provided to help identify replacement parts.
1. The document is a parts list for servicing a Scoopy motorcycle, listing 19 parts needed for the oil pump repair with descriptions and quantities.
2. Some key parts listed include the oil pump assembly, inner and outer rotors, a driven gear, mounting bolts and screws.
3. Repair of the oil pump requires removing and installing the engine to access the internals.
CATALOGO DE PIEZAS MOTOR FZS6Y Y FZS6YC YAMAHAMICHAELCLEVES
This parts catalogue document contains information for replacing parts for a Yamaha motorcycle model. It provides part numbers, descriptions and quantities for engine and chassis components. Instructions are included on how to reference the correct part numbers and apply any necessary corrections from parts news updates. Colour codes and applicable serial numbers are also listed.
This document is a parts catalog for a Yamaha GPD150 motorcycle that lists parts by figure and reference number. It provides information on applicable serial numbers, colors, and notes abbreviations and numbering conventions used in the catalog. The catalog contains sections listing engine, chassis, and electrical parts in detail.
This document contains a list of part numbers, revisions, pages and titles for various electrical drawings related to a DataPlace LCL system. It includes assemblies for printed circuit boards, electrical panels, sensors and other electrical and electronic components. Revisions provide information on changes made to drawings and released versions.
This document is the parts catalog for a Yamaha RX115 motorcycle. It contains information about motorcycle parts including the engine, transmission, frame, electrical components, and more. The parts are organized by section and figure number. Information provided for each part includes the part number, description, quantity if it is part of an assembly, and any notes. Abbreviations used in the catalog and general information about ordering parts are provided in the preface section.
This document provides parts information for a Yamaha YZF155 motorcycle. It includes:
1) An introduction and overview of the parts catalog structure and numbering system.
2) Detailed parts diagrams and lists for the engine, chassis, and other systems. Each part is identified by number and name.
3) Information on applicable serial numbers, colors, and other specifications to ensure the correct parts are ordered.
This parts catalogue covers service parts for Suzuki outboard motors including DT25/30, DT30, and DT30R models from 2012. It provides exploded diagrams of the cylinder assembly for each model and the crankshaft assembly, listing all component parts, part numbers, and quantities required. Instructions are provided for using the catalogue and interpreting part numbers, dimensions, and other specifications.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
3. A2
FOREWORD
This Parts Catalogue is related to the parts for the model(s) on the cover page. When you are
ordering replacement parts, please refer to this Parts Catalogue and quote both part numbers
and part names correctly.
1. Modifications or additions which have been made after the issue of the Parts Catalogue
will be announced in the Parts News.
It is advisable that you make the necessary corrections to the Parts Catalogue according
to the Parts News.
2. Abbreviations
The following abbreviations are used in this Parts Catalogue.
“UR” Use specified parts number.
“UN” Use as many as needed.
“AP” Alternate Parts
“LM” Locally Made (Parts need to be ordered locally)
“F#” Frame No. (Applicable machine No.)
“O/S” Over Size
3. The number of components for assembly
• Parts, which are to be supplied in an assembly, are listed with a dot (.) in front of the
part name as shown below.
• The numeral appearing to the right of each component part indicates the quantity of
parts for each assembly unit.
4. Applicable colours of graphics are represented in the “REMARKS” as shown below.
5. Note that the illustrations for reference in finding parts numbers are not to be used for
assembling. When assembling, please use the applicable service manual.
6. The asterisk (*) before a reference number indicates modified items after the first edition.
7. Applicable Serial No.
Engine Serial No.
8. Applicable Engine Starting Serial No.
9. Applicable Colour Code
10. Quantity Column Information
PART NO. DESCRIPTION Q’TY REMARKS
2F5–83310–60 FRONT FLASHER LIGHT ASSY 2
115–83311–60 .BULB (6V–18W) 1
PART NO. DESCRIPTION Q’TY REMARKS
2N4–24110–00–X5 FUEL TANK COMP. 2 MXR
3J1–24240–10 .GRAPHIC, FUEL TANK 1 FOR MXR
Model Serial No. Model Serial No.
F50 6C1-1012527 F50F 6C1-1012527
F60 6C5-1016449 F60C 6C5-1016449
Abbreviation Colour Name Colour Code
DBNM2 DARK BLUISH GRAY METALLIC 2 004D
Column No. Name Of Q’ty Column Applicable Model
1 EHT F50/F60TH,F50F/F60CEHT
2 ET F50/F60TR,F50F/F60CET
54. B7
FIG. 32 LOWER CASING & DRIVE 2
REF.
NO.
PART NO. DESCRIPTION
EHT
ET
REMARKS
1 6C5–44361–00 TUBE, WATER 1 1 L(20.7")
2 663–44367–00 DAMPER, WATER SEAL 1 1
3 663–44366–00 DAMPER, WATER SEAL 1 1
4 663–45376–00–94 GUIDE, SEAL DAMPER 1 1
5 63D–45375–00 DAMPER, SEAL 1 1
6 93606–12019 PIN, DOWEL 2 2
7 97075–10040 BOLT 4 4 L(20.7")
8 92995–10100 WASHER 4 4 L(20.7")
9 92995–10600 WASHER 4 4 L(20.7")
10 90119–08M84 BOLT, WITH WASHER 1 1 L(20.7")
11 67C–45371–00 TAB-TRIM 1 1
12 97095–08025 BOLT 1 1
13 92995–08100 WASHER 1 1
14 67C–45251–00 ANODE 1 1
15 97095–08035 BOLT 1 1
16 92995–08100 WASHER 1 1
17 663–44366–00 DAMPER, WATER SEAL 1 1
18 63D–44312–00 COVER, WATER PUMP HOUSING 1 1
19 663–45987–02 SPACER 1 1
20 66T–45997–00 SPACER 1 1
21 90389–22M01 BUSH 1 1
22 90171–16011 NUT, CASTLE 1 1
23 91490–30025 PIN, COTTER 1 1
24 69W–45943–00–EL PROPELLER (3X11"X15"-G) 1 1 UR
69W–45945–00–EL PROPELLER (3X11-1/8"X13"-G) 1 1 UR
69W–45947–00–EL PROPELLER (3X11-5/8"X11"-G) 1 1 UR
69W–45952–00–EL PROPELLER (3X11-3/8"X12"-G) 1 1 UR
55. C1
FIG. 32 LOWER CASING & DRIVE 2
REF.
NO.
PART NO. DESCRIPTION
EHT
ET
REMARKS
24 663–45941–01–EL PROPELLER (3X10-3/4"X17"-G) 1 1 UR
663–45949–01–EL PROPELLER (3X10-3/4"X16"-G) 1 1 UR
663–45952–02–EL PROPELLER (3X11-3/8"X12"-G) 1 1 UR
663–45956–01–EL PROPELLER (3X12-1/4"X9"-G) 1 1 UR
663–45958–01–EL PROPELLER (3X11-1/4"X14"-G) 1 1 UR
6H5–45943–00–EL PROPELLER (3X10"X15"-G) 1 1 UR WITH LIP CUP
6H5–45945–00–EL PROPELLER (3X10-3/8"X13"-G) 1 1 UR WITH LIP CUP
6H5–45952–00–EL PROPELLER (3X10-5/8"X12"-G) 1 1 UR WITH LIP CUP
6H5–45958–00–EL PROPELLER (3X10-1/4"X14"-G) 1 1 UR WITH LIP CUP
663–45970–60–98 PROPELLER (3X11-3/4"X12"-G) 1 1 UR
663–45972–60–98 PROPELLER (3X12"X11"-G) 1 1 UR
663–45974–60–98 PROPELLER (3X11-1/2"X13"-G) 1 1 UR
697–45970–00–98 PROPELLER (3X11-1/4"X14"-G) 1 1 UR
663–45930–00–98 PROPELLER (3X10-1/4"X14"-G) 1 1 UR
663–45974–02–98 PROPELLER (3X10-5/8"X13"-G) 1 1 UR
663–45976–00–98 PROPELLER (3X10-1/4"X15"-G) 1 1 UR
663–45978–00–98 PROPELLER (3X10-1/4"X16"-G) 1 1 UR
56. C2
FIG. 33 FUEL TANK
REF.
NO.
PART NO. DESCRIPTION
EHT
ET
REMARKS
1 6YJ–24201–10 FUEL TANK ASSY (24L) 1 1 AP FOR OCE
2 6YJ–24610–01 .CAP ASSY 1 1
3 6Y1–24260–12 .FUEL METER ASSY 1 1 WITH INDICATOR
4 90157–05M19 .SCREW, PAN HEAD 4 4
5 6Y1–24329–00 .SEAL 4 4
6 6Y1–24268–00 .GASKET, FUEL METER 1 1
7 6YJ–24167–00 .STRAINER 1 1
8 61J–24306–04 FUEL PIPE COMP. 1 1 1 AP FOR OCE
9 90445–11M06 .HOSE (L2050) 1 1
10 61J–24360–00 .PRIMER PUMP ASSY 1 1
11 90445–11M05 .HOSE (L850) 1 1
12 650–24351–01 .BAND 1 4 4
13 6G1–24305–05 .FUEL PIPE JOINT COMP. 2 1 1
14 93210–08287 ..O-RING 1 1
15 6Y1–24305–06 .FUEL PIPE JOINT COMP. 2 1 1
16 93210–08287 ..O-RING 1 1
58. C4
FIG. 35 REMOTE CONTROL BOX
REF.
NO.
PART NO. DESCRIPTION
EHT
ET
REMARKS
1 703–48205–17 REMOTE CONTROL ASSY (10P) 1 AP WITH PT/T SW.
2 701–48310–90 CABLE, REMOTE CONTROL L=11F 2 UR
701–48320–00 CABLE, REMOTE CONTROL L=12F 2 UR
701–48320–20 CABLE, REMOTE CONTROL L=13F 2 UR
701–48320–50 CABLE, REMOTE CONTROL L=15F 2 UR
62. D1
FIG. 37 METER
REF.
NO.
PART NO. DESCRIPTION
EHT
ET
REMARKS
1 6Y5–8350T–90 DIGITAL TACHOMETER ASSY 1 AP FOR OCE,BRA
2 9E450–04533 .CONNECTOR 1 F-4-W
3 92990–04100 .WASHER, SPRING 2
4 95380–04600 .NUT 2
5 6Y5–83500–S5 DIGITAL SPEEDOMETER ASSY 1 AP FOR OCE
6 6Y5–83570–S5 .SPEEDOMETER ASSY 1
7 92990–04100 ..WASHER, SPRING 2
8 95380–04600 ..NUT 2
9 6Y5–83533–T2 ..GROMMET 1
10 6Y5–83557–31 .TUBE 1
11 6Y5–83728–00 .CONNECTOR ASSY 1
12 90465–11M10 .CLAMP 2
13 6Y5–87122–S0 CORD ASSY 1 1 AP FOR OCE
14 6Y5–83553–M0 WIRE, LEAD (L=2.5M) 1 AP FOR OCE
6Y5–83553–00 WIRE, LEAD (L=2.5M) 1 AP FOR BRA
15 1E6–82151–00 .FUSE (10A) 2 FOR 6Y5-83553-M0
1E6–82151–00 .FUSE (10A) 1 FOR 6Y5-83553-00
16 6Y5–82117–00 WIRE, LEAD (BLACK) 1 AP FOR OCE
17 6Y5–83653–30 WIRE, LEAD 1 AP FOR OCE 4P,8M
6Y5–83653–20 WIRE, LEAD 1 AP FOR BRA 4P,7M
18 6Y5–83557–10 TUBE (8M) 1 AP FOR OCE
19 90465–11M10 CLAMP 2 AP FOR OCE