Case Study: Predicting Failure for Critical Shipboard Assets

May 16, 2018

It is critical for ship operators to invest in systems that limit their exposure to asset failure. The stakes are high: Failures at sea represent high opportunity costs, are expensive to remedy, and damage an operator's reputation with their customer case.

Taking cues from other industries, operators are now looking at sensor data generated by shipboard machinery.

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Case Study: Predicting Failure for Critical Shipboard Assets
Case Study: Predicting Failure for Critical Shipboard Assets