The observed reliability of five generator platforms across a live, multi-operator mission-critical portfolio. Built from real operating and failure records, not manufacturer-published figures.
Below are four findings that stood out. The full analysis includes confidence ranges, model family detail, failure-mode profiles, and the method behind every figure.
Longest MTBF, lowest failure rate at 0.128 per asset-year, fastest resolution at 188 hours, and the lowest rate of planned maintenance finding a defect.
Its MTBF range of 37,143 to 52,103 hours doesn't overlap Caterpillar's. Failures concentrate in cooling and fuel, two systems that respond strongly to maintenance discipline.
MTTR runs from 188 to 445 hours across manufacturers. For standby plant, a generator waiting on a part won't answer the next utility event.
Thirteen newly installed Kohler units, all in their first five months of service, account for 23 of Kohler's 39 measured failures.
Figures reflect recorded operating experience across multiple operators and aren't statements about product quality in general. This report is independently prepared by MCIM and isn't sponsored by, endorsed by, or affiliated with any manufacturer named in it.
The report closes with four conclusions a buyer can act on, ordered by how strongly the data supports them.
Ask suppliers for local parts inventory and guaranteed response times, and treat the answer as a reliability specification.
Commissioning rigor is the highest-leverage intervention available. The report lists what to specify before handover.
Every manufacturer's dominant failure mode sits outside the prime mover: electrical output, cooling, fuel, or controls.
Off-spec coolant, loose terminals, and unsecured filters showed up repeatedly. It's common and entirely preventable.
“The coolant is watered down, almost looks like pure water, incorrect color for proper cat coolant. Needs to be flushed and the system filled with cat specific coolant.”
The same analysis, run continuously against your own estate, so you can see where your assets sit relative to the portfolio and act before the next event.
That's where the observed reliability difference actually lives. Get the full report with rankings, model family detail, failure analysis, and method.
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