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Mimorian blog

Use cases

Concrete use cases of AI applied to industrial maintenance.

Use case

Is a document chatbot enough to diagnose a fault?

Searching for a document and diagnosing a fault are two distinct tasks. What a functional model of the equipment adds.

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Use case

How to repair a machine when the part no longer exists?

A component no longer manufactured on an ageing machine: how to establish its function, choose an equivalent and record the replacement.

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Use case

Failures at restart after the annual shutdown: why?

After an annual shutdown, faults cluster at restart. What the shutdown changes on the machine, and how to keep a record of the work done.

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Use case

Supporting the maintenance technician alone at night

On a three-shift rota, the technician faces the breakdown alone, with no expert at night. How to structure the diagnosis and capitalise on it.

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Use case

Integrating CMMS / ERP into an existing information system

Integrate a CMMS or ERP into an existing information system without a full rebuild: the lightweight approach that reads your systems in place.

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Use case

Trust and control: the real levers of ROI in industrial AI

Trust, control, knowledge capture: the three real levers of ROI for an industrial maintenance AI, beyond the promises of algorithms.

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Use case

Guided diagnosis: the augmented technician's secret weapon

How a Mimorian guided diagnosis works. From breakdown to diagnosis in 20 minutes. A concrete example: a Schneider ATV930 drive failure.

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