Condition Monitoring
A technique that continuously or periodically collects equipment operating parameters such as vibration, temperature, current and oil condition, and compares them against thresholds or baselines to determine whether equipment is currently in a normal state. It provides the data foundation for predictive maintenance.
Timeline (last 90 days)
Traditional maintenance strategies are divided into preventive maintenance on a fixed cycle and reactive maintenance after failure; AI-driven condition monitoring offers a third path.
Condition monitoring answers whether equipment is currently normal, while predictive maintenance estimates remaining useful life (RUL) or failure probability based on degradation trends, answering how much longer it can be used; the two are progressive rather than synonymous.
A common engineering practice is to first complete the closed loop of condition monitoring and alerting, accumulate alert—manual verification—actual result records, and only then introduce predictive models.
All Facts (3)
Traditional maintenance strategies are divided into preventive maintenance on a fixed cycle and reactive maintenance after failure; AI-driven condition monitoring offers a third path.
50%UnverifiedCondition monitoring answers whether equipment is currently normal, while predictive maintenance estimates remaining useful life (RUL) or failure probability based on degradation trends, answering how much longer it can be used; the two are progressive rather than synonymous.
50%UnverifiedA common engineering practice is to first complete the closed loop of condition monitoring and alerting, accumulate alert—manual verification—actual result records, and only then introduce predictive models.
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