Programme design
Link asset criticality and credible failure modes to suitable parameters, monitoring intervals, baselines, limits and response responsibilities.

Expertise 02
A structured programme that converts repeatable observations into timely equipment-condition decisions by combining monitoring technology, failure-mode knowledge and operating context.
Working principleCollect only data that supports a defined decision, then protect its quality from acquisition through verification.
Scope of practice
Link asset criticality and credible failure modes to suitable parameters, monitoring intervals, baselines, limits and response responsibilities.
Combine vibration, motion amplification, lubrication and oil information, temperature, inspection and process data where each adds diagnostic value.
State equipment condition, evidence, confidence, consequence, recommended action and follow-up requirement in language operations and maintenance can use.
Evidence-led workflow
Each stage protects the quality of the conclusion. A technically correct measurement can still lead to a poor decision when operating context, machine design or maintenance history is ignored.
Clarify the business, safety and reliability decisions expected from the programme.
Select observable parameters and technologies that can reveal the targeted degradation mechanisms.
Define locations, settings, intervals, operating-state requirements, baselines and data-quality controls.
Evaluate trends, patterns and cross-technology evidence against machine condition and operating history.
Assign an action, maintain traceable history and confirm whether the response achieved the intended outcome.
Standards foundation
These references establish the public technical foundation. The applicable machine-specific standard, OEM manual and site procedure always take priority for a real assessment.
Public knowledge
Controlled material
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