VIBROBOX
Speaker: Alexandr and Yaraslava
BRIEF COMPANY INTRODUCTION
VibroBox Team
Research fields:
Prescriptive maintenance, condition monitoring, digital signal processing, vibration
diagnostics, neural networks, ML/DS and AI, decision-making systems, cyber-
physical systems
Sitel LLC Develops VibroBox project.
●CEO Dr. Igor Davydov, Ph.D. in
vibration-based diagnostics and
19+ years of industrial and scientific
experience
●18+ scientists, industry experts,
software and hardware engineers
●2 Ph.D. and 4 Ph.D. students
Diagnostic and analysis transformation.Really E2E digital?
MEASURE ANALYZE SOLVE
Traditional
approaches
Big Data
approach
VibroBox
approach
+
Automatic solutions overview
(diagnostics and analysis)
Solution / type of
maintenance
Strengths Weaknesses Examples
Critical state
identification,
condition-based
• high deployment
speed
• low accuracy,
• low scalability,
• undetailed information,
• need for expert support
Case-based R&D,
prescriptive
• high accuracy • high cost,
• long implementation time,
• low scalability
Big Data solutions (fault
and measurement data
correlation),
predictive
• middle accuracy • long implementation time,
• low scalability,
• low adjustability to equipment
change or modernization
VibroBox,
prescriptive
• fast project
implementation
• perfect scalability
• high accuracy
-
TECHNOLOGY
VibroBox architecture
VibroBox is a comprehensive solution for automatic diagnostics and
prescriptive maintenance (RxM) of rotary industrial equipment
Industrial equipment
+ 3rd party / VibroBox
HW
Analytical platform User interfaces
• health status,
• maintenance
prescriptions,
• reports,
• analytics
telemetry
data
ethernet,
Wi-Fi, 2-4G
VibroBox telemetry acquisition hardware
Critical industrial equipment (TRL 9):
● Applications: critical equipment with specific
operating conditions (high temperatures areas,
varying load and speed, high vibration level,
etc.)
● Hardware: up to 8 accelerometers + temperature
sensors
Mass-market industrial equipment (TRL 4):
● Applications: pumps, fans (blowers), motors and
generators, gearboxes and others
● Hardware: accelerometer + temperature sensor
in wireless monoblock unit
Key features
● truly automatic in-depth processing of the wide range
of incoming telemetry data
● universal – covers hundreds of types of both stationary
and moving equipment in the dozens of industries
● early-stage detection of equipment internal parts detects
followed by maintenance recommendations for each structural
element
● up to 100% accuracy rate
● compatible with 3rd party hardware equipment (AB SKF,
Prueftechnik)
● fast project implementation and perfect scalability
Inside VibroBox
● the analytical platform uses the kinematic scheme and generates the necessary training
dataset for analyzed equipment before the deployment.
● the synthesized dataset covers 100% of defects for specific equipment unit, forming the
primary digital parametric model.
● the platform processes the incoming telemetry data using relevant algorithms and validates
the primary digital model. After validation, a digital model of the equipment is formed, and the
solution is ready for operation.
dataset of synthesized
vibration signals
equipment
unit
kinematic
scheme
“digital twin”
Web user interface
AS-IS SCENARIO
VibroBox common architecture
Telemetry data acquisition system
(customer side)
Internet
Accelerometers,
Temperature sensors,
(optional sensors)
Data processing service
DataUploader &
API Storage
ERP, MES,
CMMS
Cloud storage
Computing service
Compute
element № 1
Compute
element № n
DB
Web-service App
API Core &
Data Flow
Manager
Telemetry
Device 1
Wi-Fi, 3G/4G,
Ethernet, etc.
network router
CPS/IoT cloud Platform
●multichannel,
●retrieve data,
●store data
(internal storage),
●upload data,
●remote control
CLI,
●self-diagnostic,
●optional functions
Telemetry
Device N
TO-BE SCENARIO
Telemetry data acquisition system
(customer side)
Internet
Accelerometers,
Temperature sensors,
(optional sensors)
Data processing service
DataUploader &
API Storage
ERP, MES,
CMMS
Cloud storage
Computing service
Compute
element № 1
Compute
element № n
DB
Web-service App
API Core &
Data Flow
Manager
Telemetry
Device 1
Wi-Fi, 3G/4G,
Ethernet, etc.
network router
CPS/IoT cloud Platform
●multichannel,
●retrieve data,
●store data
(internal storage),
●upload data,
●remote control
CLI,
●self-diagnostic,
●optional functions
Telemetry
Device N
«TO-BE» scenario
ARCHITECTURE AND TECHNICAL DETAILS
Architecture of the Integrated system
Data recording equipment (at the bottom)
Our data aquisition device get additional software to send info
to FIWARE components
Web & Data processing cloud platform (at the middle)
Selected FIWARE components now run in our cloud, and receive
info from recording equipment and vibrobox platform
Client-side applications (at the top)
Our clients now are able to communicate with the system using
FIWARE framework standards
Architecture of the
Integrated system
Some technical details
Vibrobox cloud platform
Is a docker-based system, it made the integration easy
FIWARE components used
Orion Context Broker, ADAS IoT Agent, Draco Data Storage
Open-source code released
https://github.com/VibroBox/fiware_components/tree/development
Custom software could be easily developed on the clients' side
using the source codes from above
KPIs & BUSINESS IMPACT
KPIs
FIWARE components integration with VibroBox
Deployment of VibroBox for new equipment
less than in 14 days
Up to 5 days for scaling on site
Reducing of unplanned downtime of the equipment
at 15% (according to the results of the preliminary
experiments)
BUSINESS IMPACT
● Increase of output and growth of revenue
● Reduce the costs of maintenance and heavy overhaul
● Extension of equipment service life and an overall increase in its
reliability
● Support for digitalization of production - Industry 4.0 and IIoT
Video
THANK
YOU!
info@vibrobox.com

Vibro box sitel midih-presentation oc2

  • 1.
  • 2.
  • 3.
    VibroBox Team Research fields: Prescriptivemaintenance, condition monitoring, digital signal processing, vibration diagnostics, neural networks, ML/DS and AI, decision-making systems, cyber- physical systems Sitel LLC Develops VibroBox project. ●CEO Dr. Igor Davydov, Ph.D. in vibration-based diagnostics and 19+ years of industrial and scientific experience ●18+ scientists, industry experts, software and hardware engineers ●2 Ph.D. and 4 Ph.D. students
  • 4.
    Diagnostic and analysistransformation.Really E2E digital? MEASURE ANALYZE SOLVE Traditional approaches Big Data approach VibroBox approach +
  • 5.
    Automatic solutions overview (diagnosticsand analysis) Solution / type of maintenance Strengths Weaknesses Examples Critical state identification, condition-based • high deployment speed • low accuracy, • low scalability, • undetailed information, • need for expert support Case-based R&D, prescriptive • high accuracy • high cost, • long implementation time, • low scalability Big Data solutions (fault and measurement data correlation), predictive • middle accuracy • long implementation time, • low scalability, • low adjustability to equipment change or modernization VibroBox, prescriptive • fast project implementation • perfect scalability • high accuracy -
  • 6.
  • 7.
    VibroBox architecture VibroBox isa comprehensive solution for automatic diagnostics and prescriptive maintenance (RxM) of rotary industrial equipment Industrial equipment + 3rd party / VibroBox HW Analytical platform User interfaces • health status, • maintenance prescriptions, • reports, • analytics telemetry data ethernet, Wi-Fi, 2-4G
  • 8.
    VibroBox telemetry acquisitionhardware Critical industrial equipment (TRL 9): ● Applications: critical equipment with specific operating conditions (high temperatures areas, varying load and speed, high vibration level, etc.) ● Hardware: up to 8 accelerometers + temperature sensors Mass-market industrial equipment (TRL 4): ● Applications: pumps, fans (blowers), motors and generators, gearboxes and others ● Hardware: accelerometer + temperature sensor in wireless monoblock unit
  • 9.
    Key features ● trulyautomatic in-depth processing of the wide range of incoming telemetry data ● universal – covers hundreds of types of both stationary and moving equipment in the dozens of industries ● early-stage detection of equipment internal parts detects followed by maintenance recommendations for each structural element ● up to 100% accuracy rate ● compatible with 3rd party hardware equipment (AB SKF, Prueftechnik) ● fast project implementation and perfect scalability
  • 10.
    Inside VibroBox ● theanalytical platform uses the kinematic scheme and generates the necessary training dataset for analyzed equipment before the deployment. ● the synthesized dataset covers 100% of defects for specific equipment unit, forming the primary digital parametric model. ● the platform processes the incoming telemetry data using relevant algorithms and validates the primary digital model. After validation, a digital model of the equipment is formed, and the solution is ready for operation. dataset of synthesized vibration signals equipment unit kinematic scheme “digital twin”
  • 11.
  • 12.
  • 13.
    VibroBox common architecture Telemetrydata acquisition system (customer side) Internet Accelerometers, Temperature sensors, (optional sensors) Data processing service DataUploader & API Storage ERP, MES, CMMS Cloud storage Computing service Compute element № 1 Compute element № n DB Web-service App API Core & Data Flow Manager Telemetry Device 1 Wi-Fi, 3G/4G, Ethernet, etc. network router CPS/IoT cloud Platform ●multichannel, ●retrieve data, ●store data (internal storage), ●upload data, ●remote control CLI, ●self-diagnostic, ●optional functions Telemetry Device N
  • 14.
  • 15.
    Telemetry data acquisitionsystem (customer side) Internet Accelerometers, Temperature sensors, (optional sensors) Data processing service DataUploader & API Storage ERP, MES, CMMS Cloud storage Computing service Compute element № 1 Compute element № n DB Web-service App API Core & Data Flow Manager Telemetry Device 1 Wi-Fi, 3G/4G, Ethernet, etc. network router CPS/IoT cloud Platform ●multichannel, ●retrieve data, ●store data (internal storage), ●upload data, ●remote control CLI, ●self-diagnostic, ●optional functions Telemetry Device N «TO-BE» scenario
  • 16.
  • 17.
    Architecture of theIntegrated system Data recording equipment (at the bottom) Our data aquisition device get additional software to send info to FIWARE components Web & Data processing cloud platform (at the middle) Selected FIWARE components now run in our cloud, and receive info from recording equipment and vibrobox platform Client-side applications (at the top) Our clients now are able to communicate with the system using FIWARE framework standards
  • 18.
  • 19.
    Some technical details Vibroboxcloud platform Is a docker-based system, it made the integration easy FIWARE components used Orion Context Broker, ADAS IoT Agent, Draco Data Storage Open-source code released https://github.com/VibroBox/fiware_components/tree/development Custom software could be easily developed on the clients' side using the source codes from above
  • 20.
  • 21.
    KPIs FIWARE components integrationwith VibroBox Deployment of VibroBox for new equipment less than in 14 days Up to 5 days for scaling on site Reducing of unplanned downtime of the equipment at 15% (according to the results of the preliminary experiments)
  • 22.
    BUSINESS IMPACT ● Increaseof output and growth of revenue ● Reduce the costs of maintenance and heavy overhaul ● Extension of equipment service life and an overall increase in its reliability ● Support for digitalization of production - Industry 4.0 and IIoT
  • 23.
  • 24.