In this case study we related how the analysis of historical condition monitoring data can provide confidence, for some equipment / components, to increase the intervals between samples and reduce overall condition monitoring spend.

A key component of the process we employ to gain confidence in our decision making is the analysis of the sample comments provided by laboratory technicians.

At Relialytics we employ a unique combination of text analytics and data visualisation to quickly understand the historical condition monitoring data associated with specific equipment / component types.

A good example of this is Figure 1 below. The network diagram represents a visualisation of the sample comments for the final drives from 777D off-highway trucks.

Each node / dot in the diagram represents a sample. The links between the nodes provide an indication of how similar the laboratory technician’s comments are between samples.

The more tightly clustered these samples are, the more similar the comments.

Historical Conditioning and Monitoring Data - Case Study

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