Predictive analytics for maintenance management can take the guesswork out of equipment maintenance, which parts to order and when equipment should be replaced.

1. Maintenance Management
Predictive Analytics Use Case

2. • Predictive maintenance techniques are designed to help
anticipate equipment failures to allow for advance scheduling
of corrective maintenance, thereby preventing unexpected
equipment downtime, improving service quality for
customers, and also reducing the additional cost caused by
over-maintenance in preventative maintenance policies.
Maintenance Management
Sample Application
Description

3. Target
Machine Failure
Maintenance Management
Sample Application

4. • Effecting factors of machine – Temperature, Humidity
• Various other machine data from Sensors
Influencing
Factors
Maintenance Management
Sample Application

5. Binary Logistic Regression is the method used for classifying
numeric and/or categorical data into two groups based on
predefined categories.
• Higher classification accuracy (>=70%) means the results
are reliable and accurate.
• Lower classification accuracy (<70%) means the model
needs to be rebuilt using different input parameters.
Algorithm(s)
Maintenance Management
Sample Application

6. Training
dataset
Maintenance Management
Sample Application

7. Testing
dataset
Maintenance Management
Sample Application

8. Model
Visualization
Maintenance Management
Sample Application

9. Model
Visualization
Maintenance Management
Sample Application

10. Model
Summary
Maintenance Management
Sample Application

11. Interpretation
Maintenance Management
Sample Application

12. Simulation
Maintenance Management
Sample Application

13. Result
• Likelihood/probability of machine failure.
• Flag containing ‘likely to fail’ and ’unlikely to fail’
information with ‘yes’ and ‘no’ values.
Maintenance Management
Sample Application

14. Single Apply
Machine Failure with probability value can be carried out
using APPLY functionality shown below.
Maintenance Management
Sample Application

15. Result
Maintenance Management
Sample Application

16. Prediction
• Predicted machine failure and Probability of failure of
monitoring dataset
Maintenance Management
Sample Application

17. Prediction
Accuracy
Maintenance Management
Sample Application
Predicted Values
Actual
Values
• Prediction Accuracy is: 99.20%

18. Maintenance Management
Predictive Analytics Use Case
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Smarten – Maintenance Management Use Case - 2020