Treating Problems In Complex Systems

Treating Problems In Complex Systems

by | Nov 7, 2023 | Prexello-DeepDive

Most big failures almost never repeat themselves For repeating issues, AI rules are created leading to prescriptive detection Identifying novel issue before they grow into series problems is hard Prexello captures novel issues early on Our AI covers all sensors,...
Wide Scope With a Clear Focus

Wide Scope With a Clear Focus

by | Nov 7, 2023 | Prexello-DeepDive

There might be 100,000s of sensors at a site. Often it is not known what these tags mean. Only a small amount of sensor data is being followed up on a regular basis When leveraging data-driven AI for OEE improvements this doesn’t need to change Focus shouldn’t be on...
Seamless Integration

Seamless Integration

by | Nov 7, 2023 | Prexello-DeepDive

It is clear that machine and process data needs to leverage to improve OEE. Also, this is the only way to implement a state-based maintenance strategy On the other side, PdM AI has to integrate seamlessly into existing workflows There is already an existing tool...
Working With Variations

Working With Variations

by | Nov 7, 2023 | Prexello-DeepDive

Every site, plant and device is unique. Physically identical components might come from the same production line in the same batch. After a few months every component has its own history, its own story to tell and the data it is emitting will look different. Failures...
Let Change Be Your Friend

Let Change Be Your Friend

by | Nov 7, 2023 | Prexello-DeepDive

Conditions change all the time. Hot summers or cold winters, heavy loads or partial loads, freshly maintained or close to the end of its useful lifetime. In order for PdM work successfully the AI needs to learn the behavior of all these conditions and must be...