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Organizations are under pressure to streamline operations and cut maintenance expenses. By analyzing the state of the equipment that is already in use, predictive maintenance approaches can forecast when maintenance work needs to be done while minimizing the impact on everyday system operations. This leads to reduced downtimes and therefore, substantial cost savings and higher system reliability.

Predictive maintenance (PdM) with Industrial IoT helps to implement connected processes and machines for a digitized value chain, giving visibility into every aspect of machine performance, operator effectiveness, production throughput, and quality. It has been used by many organizations as a proactive measure, and cutting-edge technologies like AI and machine learning are the foundational technologies that promise to enhance PdM programmes even further.

However, Predictive Maintenance (PdM) is difficult to adopt and manage at an industrial scale, so how can you be sure that you are taking the proper procedures to increase your chances of success? This whitepaper describes several maintenance approaches and explains how to pick and apply the best predictive maintenance (PdM) strategy for your company's mission-critical equipment.

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