Stop reacting to machine failures, and start predicting them before they happen

Overview:

This eBook includes a collection of stories and interviews that demonstrate how condition-based maintenance can prevent failures, forecast maintenance needs, extend machinery life, and improve reliability of assets.

Unplanned downtime translates into missed delivery dates, rushed or overtime-staffed makeup runs that may affect product quality, lower profits for both customer and producer, and lack of strong management in the eyes of investors in public firms or owners of privately held businesses. Predictive maintenance is the application of condition-based monitoring technologies, such as ultrasound, infrared, vibration, oil analysis, or motor testing, for the purpose of early detection. This eBook includes a collection of stories and interviews that demonstrate how condition-based maintenance can prevent failures, forecast maintenance needs, extend machinery life, and improve reliability of assets.

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