AI Based Predictive Maintenance
Product Overview
Predictive Maintenance applications are gaining traction over the traditional preventive maintenance in high availability mission critical systems. BEL has indigenously manufactured many systems/ sub-systems/ components for the Fire Control System, deployed in various ships of the Indian Navy which are to be maintained for a period of over 10 to 15 years. The Predictive Maintenance for Fire Control Systems was taken up to incorporate Artificial Intelligence (AI) in defence applications to aid the operator in quick decision making and the solution is deployed in one of the naval ships
- Asset Management
- High Availability Mission Critical Systems
- Manufacturing Industries
- Smart Factories
- IT/ICT Solutions
Key Features
- A comprehensive HMI/ Dashboard to visualize overall health of the running systems at LRU/ PCB/ system/ subsystem level
- Real time/ Time series data logging
- Real time logging of operating hours and indication of percentage usage of PCBs/ systems/ subsystems
- Use of supervised and unsupervised ML models
- Prediction of Failures: Regression models to predict the failures within time window
- Warnings based on model prediction: ML models trained on the data and ideal operating conditions to predict anomalous behaviour of the equipment/ device
- Flagging Anomalous behaviour: Identifies faulty sequences in the operation of the system to prevent further failure
- Warnings based on usage for life-limited items
- Provision to log failures in PCBs/ systems/ subsystems to refine the ML model further and improve prediction accuracy
- Resource availability/ Spare management
- Periodic system maintenance: Alerts the operator/ maintainer of the system as per planned schedules
- Report generation
Benefits
The continuous data of asset health, operational data fed to an Artificial Intelligence/ Machine learning (AI/ ML) based system helps in avoiding unanticipated downtime for a system by providing the operator with critical insights. An AI/ ML based Predictive Maintenance method involves deploying a learned ML Model based on historical data to analyse the behaviour of the system and warn the user of anomalous behaviour or predict system/ subsystem failure with reasonable accuracy. AI based Predictive Maintenance improves system’s Reliability, Availability and Maintainability.