Predictive Maintenance With Data Science
A technique that is used to predict the future failure point of a machine using condition monitoring tools that tracks the performance that detects the possible defects to replace the component, as per a plan before the occurrence of failure. Prevention of failure can be done by regularly scheduled and correlative maintenance. It ensures maximum availability of critical manufacturing systems, and minimizing the cost of maintenance and repairs. With artificial intelligence implementation and machine learning projects data collection over time to monitor the state of equipment contributes to predictive maintenance. By using machine learning in predictive maintenance, we can gather the data, to frame a problem and take strategic decisions
- Predictive models of machine learning
- Supervisory control and data acquisition
- Solving a predictive maintenance business problem through applied data science
- Predictive maintenance strategies
- Real-time fault detection‎
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