Vacuum heat treatment · plant memory
The same breakdown, 2 years apart, re-diagnosed from scratch
On a vacuum heat treatment furnace, the cycle ends and the door refuses to open. The breakdown had already happened, two years earlier. In between: almost no trace.
About this case
A real breakdown recounted by the site; the diagnostic demonstration was run on this machine, actually imported into Mimorian from its documentation. The hypothesis proposed by the tool matched the site experts' own. Site anonymised.
The situation: a rare breakdown, so a forgotten breakdown
A vacuum furnace finishes its cycle, the door stays locked. The site has already been through exactly this failure, two years before. But two years is enough for people to change, for details to fade and for the diagnosis to start again from zero.
The site's CMMS history amounts to 19 incidents since 2022. Older breakdowns live on paper sheets, and above all in the memory of a few people.
The blocker: the short memory of long-interval breakdowns
Frequent breakdowns are learned through repetition. Rare breakdowns always come back later than memory lasts. Yet they are often the most costly: a singular piece of equipment, rare expertise, blocked production.
Without structured memory, every occurrence pays the full price of the diagnosis all over again.
The demonstration: the machine imported, the breakdown replayed
The demonstration is run on the site's real machine, imported into Mimorian from its documentation.
The furnace imported from its documentation
The diagrams and documentation of the cycle machine are imported into Mimorian, which builds its functional graph: power supply, safety devices, actuators, sensors, connected in cause and effect chains.
The symptom replayed in demonstration conditions
Cycle complete, door that will not open. Mimorian proposes its hypotheses by walking back up the functional chains that lock the door.
The tool's hypothesis matches the experts' own
The door interlock proposed by Mimorian was among the initial hypotheses of the site's experts. The difference: the tool restores it to any technician, at any hour, in 2 years as much as today.
The result: the next occurrence will not start from zero
The value demonstrated fits in one sentence: what the site had to re-diagnose twice from scratch, the tool restores on demand, with the reasoning visible.
For rare breakdowns, structured memory beats human memory. That is exactly the role of a plant memory: every resolved breakdown protects the next one, even 2 years apart.
Two years between two occurrences is enough for the details to fade and for the diagnosis to start again from zero. Structured memory does not evaporate.
Frequently asked questions
What is a diagnostic AI worth on rare breakdowns?
That is where it pays off most: frequent breakdowns are learned through repetition, rare breakdowns return after human memory has faded. A structured memory restores the full reasoning, even years later.
What can you do when the CMMS history is thin?
Start from what exists: the machine documentation is enough to build the functional graph and guide the diagnosis. The history then grows richer at every intervention, through voice dictation of intervention reports.
Does the tool replace the site's experts?
It capitalises on their reasoning. On this demonstration, the proposed hypothesis matched the experts' own: the value is making it available to the whole team when the expert is away, and keeping it when the expert leaves.
Which rare breakdown has cost you the most?
Import the machine in question into Mimorian and replay the breakdown as a demonstration. The restored reasoning speaks louder than any pitch.
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