What is Predictive maintenance? | Benefits of Predictive Maintenance | Industry 4.0

Industry 4.0 Predictive maintenance:
Predictive maintenance is a method of preventing the failure of expensive manufacturing equipment, by analyzing data throughout production to pinpoint unusual behavior ahead of time, to ensure appropriate measures can be taken to avoid extended periods of production downtime.

Before the widespread adoption of IoT in manufacturing settings, professionals and machine operators would have to frequently schedule maintenance at regular intervals in order to identify what might need to be repaired.

Why Predictive Maintenance is Driving Industry 4.0?
Manufacturers are turning to the Industrial Internet of Things (IIoT) for a smarter approach, continually analyzing behavior data to inform actionable insights that predict product failure, increase uptime and improve asset efficiency.

Maintenance is a strategic concern when developing and manufacturing products, but a third of all maintenance activities are carried out too frequently and half are ineffective. For machine operators and factory managers, preventative maintenance and asset repairs consume unnecessary resources, eat into operational costs and cripple efficient operations.

Benefits of Predictive Maintenance:
-Reduce downtime
-Optimize spare parts inventory
-Extend equipment life
-Improve plant safety
-Optimize maintenance schedule
-Reduce maintenance costs
-Improve yield rate
-Optimize asset availability

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