Turning machine warnings into maintenance priorities

500 Fault Codes. Fewer Than 20 That Really Mattered.

Turn machine warnings into maintenance priorities

The Challenge

The machines in the project generated around 500 error and warning messages. Analysis showed that fewer than 20 were associated with a significant share of relevant machine damage.

The challenge is identifying which messages require attention and which do not.

The Solution

Relevant faults were assessed together with the machine manufacturer and prioritized according to severity.

TALPA combines fault information with relevant machine signals and operating context. This helps maintenance teams understand what happened, how critical it is and whether action is required immediately or can wait until scheduled maintenance.

Business Impact

Less noise.

Focus attention on faults relevant to machine health.

Clearer priorities.

Use severity and machine context to support maintenance decisions.

More targeted action.

Give maintenance teams the information relevant to the fault instead of hundreds of raw messages.

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The value is not having more machine data. It is knowing which data requires action.

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