We stand on the brink of a technological revolution today where almost everything is gradually becoming IoT-enabled. Downtime and low efficiency have been some of the biggest concerns for the manufacturing industry. While the traditional maintenance methods cannot meet today’s requirements, IoT-enabled predictive maintenance techniques are designed to help determine the condition of machines so that manufacturers can maximize machine availability.
Operational Predictive Maintenance Market by Solution, by Service (System Integration, Training and Support, Consulting, by Deployment Type (Cloud, on-Premise), by Application Area, by Region (NA, Europe, APAC, MEA, LA) – Global Forecast to 2020
Predictive maintenance solutions enable companies to evaluate equipment condition so that they can create well thought out maintenance program and avoid sudden machinery breakdowns.
In this document, you will learn about various predictive maintenance programs and use cases
- How predictive maintenance is accomplished by remote monitoring
- Big data analytics for predictive maintenance
- Performance modeling and analytics for predictive maintenance
- Failure prediction for predictive maintenance