The Predictive Maintenance solution accelerator is an end-to-end solution for a business scenario that predicts the point at which a failure is likely to occur. Use this solution accelerator proactively to optimize maintenance and to create automatic alerts and actions for remote diagnostics, maintenance requests, and other workflows. The solution combines key Azure IoT services like IoT Hub and Stream analytic.

1. Predictive Maintenance
Using IoT to do predictive maintenance can reduce equipment downtime by 50 %

2. Why is it required ? How do we solve it ? Benefits

3. Why is it required ?
 Predictive maintenance provides benefits that improve the bottom line and impact the
company as a whole.
1. Full visibility : identify equipment issues that aren’t easily noticed by expert
observation., sensors can match asset symptoms to a specific maintenance activity thus
lowering maintenance costs
2. Cost effective : Predictive maintenance can save vital company resources. By predicting
when an unavoidable failure will occur, this maintenance method reduces the need for
last-minute purchases or storage of replacement parts for critical equipment
3. Reliability : Instead of regularly shutting down a piece of equipment to conduct
preventive maintenance tasks, PdM determines when maintenance is needed. This reduces
downtime and increases productivity by ensuring a piece of equipment remains operating
until right before an imminent

4. How do we solve it ?
Predictive maintenance combines preventive and condition-based maintenance techniques to create a
highly accurate way of collecting and evaluating asset data to pinpoint required maintenance tasks.
 1. Capturing Sensor Data : Using Industrial IoT sensors and IoT gateways we will capture the
sensor data of equipment like Temperature , current , vibration, ultrasonic sensors etc.
 2. Infrared thermography analysis : Without disrupting productivity, an sensor based system
evaluates the temperature profile of a piece of equipment to keep it from overheating and failing.
 3. Ultrasonic analysis : frequencies an asset is making into auditory or visual signals to be
evaluated. The frequencies measured are generated from equipment issues like faulty electrical
equipment, leaky valves, unlubricated bearings, etc.
 4. Current analysis: Measuring the current and voltage of electricity supplied to an electric motor
is important. This detects rotor bar problems as well as issues with belts and couplings.
 5. Vibration analysis : This is to measure displacement, velocity or acceleration to determine
issues like misalignment, imbalance, looseness, wear and more.
 6. Centralized Monitoring: Real-time data from IoT endpoints makes supervisors and decision
makers capable of monitoring and controlling the entire plant. IoT sensors, installed at various
locations, makes it possible to ingest data from multiple sources. Resulting in optimizing Oil and
Gas assets and production, from enterprises to wells, the refinery to a smart station.

5. Benefits
 1. Reduces outages time : Component only replacement is scheduled with production to take
place during scheduled downtime. Unscheduled downtime may cost thousands of dollars per hour.
 2. Increases safety : Predictive maintenance would allow potential problems to be fixed before
failure occurs, which would create safer driving conditions for employees and customers.
 3. 360 Dashboard: give full view of Real Time Data, Consumption Patterns and Control
Visualization, Quick Alert and Notification for Critical Information, Geographical View of Device,
and Spike Chart of Sensor Data.
 4. IoT Integration: Integration with the Alexa Echo Dot (IoT) and Bot. You can access the
information from any location any place.
 5. Cost Benefits
 Reduces equipment costs : instead of replacement of the entire piece of equipment due to critical failure,
a repair is made prior to failure and cost is minimized to the price of the component and the labor needed
for the repair.
 Reduces Operational costs: When repairs are scheduled, the amount of time needed for repair is reduced
because of a smaller number of component replacements instead of entire equipment replacement
 Increases ROI : With less maintenance on good components and quicker repair of faulty components, repairs
can be more effectively handled, thereby reducing repair time.(MTTR)

6. Architecture
Temperature Sensor
2
Light Sensor
Vibration Sensor
2
2
IoT Hub In-Stream Processing Event Hub
Machine Learning
Monitoring &
Reporting Tools
Storage
IoT Integration
1
3 4 5
6 7 8
8
10
9
Azure IoT
Register the Device
and Get Device ID and
Access Key
Sending the Sensor
Data To IoT Hub
Reading Sensor
Information Data
Giving IoT Hub Input
to Stream Analytics
Analyze and Filter
data to Send to
event Hub
Store the IoT Hub
Data to Storage
Analyze the IoT Hub
Data to Predictive
Analysis
Business
Integration
Read and Write
the IoT Hub Data
Using Web API
Read and Write
the IoT Hub
Data Using Web
API
IoT Hub Azure Cloud
Service
Read the Data From
Event Hub
Send Message to IoT Hub when
Action Needs to Perform
e.g. temperature high
11
Sending Alert to Device

7. Technology Stack

8. Thank You