These guides help organise evidence and the next engineering decision. They do not ask you to diagnose the root cause before seeking support, and they do not turn a public guide into an unrestricted capability claim.
The first public set stays inside controlled problem families and evidence-safe guidance. Broader utility and automation problem libraries remain held until their methods and delivery boundaries are ready for public expansion.
Equipment Reliability
A machine repeatedly trips, stops, alarms, or needs reset before production can continue.
Decision: Determine whether the dominant cause is condition, protection, control, operating load, utility supply, or another repeatable trigger before replacing parts.
Open guideEquipment Reliability
A bearing is replaced but noise, heat, vibration, looseness, or another failure returns too soon.
Decision: Separate the failed bearing from the mechanism that damaged it, such as fit, alignment, lubrication, contamination, load, installation practice, or connected-component condition.
Open guideEquipment Reliability
A pump develops repeated seal leakage or short seal life even after seal replacement.
Decision: Determine whether seal damage is a symptom of alignment, dry running, pressure, temperature, vibration, shaft condition, flush arrangement, installation, or operating-point problems.
Open guideProduction Performance
A line loses output through frequent small stops, blocking, starvation, waiting, speed loss, or repeated operator intervention.
Decision: Identify where production time is actually being lost and separate the bottleneck from symptoms elsewhere on the line.
Open guideMeasurement and Operational Data
The factory cannot reliably say how long a machine was powered, running, loaded, productive, cycling, or stopped.
Decision: Define the exact operating-state question first, then use the minimum trustworthy signal needed to answer it.
Open guideMaintenance System
PM tasks are being completed but repeat defects, emergency work, missed deterioration, or poor equipment condition continue.
Decision: Check whether PM tasks target real failure modes, produce usable evidence, trigger action, and are performed at a defensible interval.
Open guideMaintenance System
The factory cannot reliably reconstruct what failed, what was done, which parts were used, or whether a recurring problem was actually closed.
Decision: Create the minimum asset and work-history structure that supports maintenance decisions before adding software complexity.
Open guideEquipment Reliability
A machine has recurring failures, rising maintenance cost, poor performance, obsolete parts, or a proposed replacement, but the decision is not evidence-based.
Decision: Compare restoration, redesign, monitoring, partial upgrade, and replacement against consequence, condition, operating need, supportability, cost, and verification criteria.
Open guideOperational Evidence
Inspections and meetings identify issues, but ownership, due dates, verification, or evidence of closure remain weak.
Decision: Define what 'closed' means for each action and preserve evidence that the agreed technical and operational result was verified.
Open guideCause Not Yet Clear
Performance is poor or unstable, but available evidence does not yet separate mechanical, process, utility, control, data, or operating causes.
Decision: Define the symptom, consequence, boundary, and missing evidence before committing to a repair, technology purchase, or specialist route.
Open guidePowered, running, loaded, productive, cycling, and OEE inputs are not interchangeable. Use the Machine Runtime Measurement guide to choose the operating question first and compare the minimum evidence routes.
You do not need to diagnose the cause before contacting Profilio. Describe what is happening, what it affects, and what information already exists. The next step should follow the evidence.
