How do you identify bad actors among pumps, exchangers, or compressors before reliability KPIs deteriorate?
Please share some good leads.
Reliability KPIs
Re: Reliability KPIs
That's an intelligent one!
There has to be a different approach to identify a bad actor, which is often not the equipment that failed catastrophically...
It is the one:
consuming disproportionate maintenance hours
requiring repeated interventions
creating process instability
generating nuisance alarms
forcing operators into workarounds
repeatedly approaching trip limits... before actual failure occurs.
A pump opened 4 times in 8 months for seal issues is already a bad actor even if availability still looks acceptable.
This is where the things should take a start.
There has to be a different approach to identify a bad actor, which is often not the equipment that failed catastrophically...
It is the one:
consuming disproportionate maintenance hours
requiring repeated interventions
creating process instability
generating nuisance alarms
forcing operators into workarounds
repeatedly approaching trip limits... before actual failure occurs.
A pump opened 4 times in 8 months for seal issues is already a bad actor even if availability still looks acceptable.
This is where the things should take a start.
Re: Reliability KPIs
I would say building pain index would support here instead of approaching towards that based upon MBTF only (picked up on normal basis).
See the attachment here, how it indicates an associated weight of every parameter: This catches assets that are:
See the attachment here, how it indicates an associated weight of every parameter: This catches assets that are:
- degrading silently
- not yet causing downtime
- but consuming organizational attention
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Re: Reliability KPIs
Is this indicative or from an actual document rating all these cases?
ivani1 wrote: 24 May 2026, 08:49 I would say building pain index would support here instead of approaching towards that based upon MBTF only (picked up on normal basis).
See the attachment here, how it indicates an associated weight of every parameter:
Snip20260524_46.png
This catches assets that are:
- degrading silently
- not yet causing downtime
Many plants miss this because KPIs focus only on downtime.
- but consuming organizational attention