Machine downtime has a dramatic impact on your operational efficiency. Unexpected machine downtime is even worse. Detecting industrial equipment issues at an early stage and using that data to inform proper maintenance can give your company a significant increase in operational efficiency.
Customers see value in detecting abnormal behavior in industrial equipment to improve maintenance lifecycles. However, implementing advanced maintenance approaches has multiple challenges. One major challenge is the plethora of data recorded from sensors and log information, as well as managing equipment and site metadata. These different forms of data may either be inaccessible or spread across disparate systems that can impede access and processing. After this data is consolidated, the next step is gaining insights to prioritize the most operationally efficient maintenance strategy.
A range of data processing tools exist today, but most require significant manual effort to implement or maintain, which acts as a barrier to use.

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