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LiveWorx 2017

Unscheduled Maintenance. It Can Cost Millions, Harm People And the Environment

Session Description

Systems operating in industrial settings require a high degree of Reliability and Availability. Facilities like power generation plants, manufacturing lines, and oil & gas drilling sites rely on the operational capability of complex equipment. The consequences of unscheduled maintenance include not just the costs of lost production revenue. Failures impact the bottom line through repair and clean-up costs while critical failures can potentially cause harm to people and the environment. Reducing the likelihood of failure in these environments has long been a goal of Reliability Engineering. This session will discuss Machine Learning analysis, how it will better identify failures and improve preventative maintenance while providing an example of a real world application of the process.


Session Presenter
Additional Information
Analytics & Big Data
IoT
Industrial equipment requires high Reliability and Availability
Machine Learning analysis is an effective tool to predict and manage equipment failures
Machine Learning analysis of failure data provides value even for systems lacking sensors
Breakout Session
45 minutes
Session Schedule