Predictive Maintenance of Thermal Equipment: Detecting Anomalies from Trends

The focus of maintenance should gradually shift from post-fault repairs to planned interventions based on condition.

Jinglian Zhongrui Technology Team

Key Points Trends in temperature, vibration, current, pressure, and energy consumption can reveal early changes in circulating fans, drives, seals, and heating systems, provided that measurement points are stable and baselines are clear.

Implementation Focus 1. First, establish a health baseline and failure mode list for key equipment. 2. Select a small number of high-quality signals that are directly related to failure mechanisms. 3. Divide alarms into observation, planned maintenance, and immediate shutdown levels. 4. After each maintenance, record the cause, measures, and effects to continuously refine the rules.

Verification and Closed Loop The effectiveness of predictive maintenance should be evaluated using changes in unplanned downtime, spare parts consumption, and process fluctuations.

Project Recommendations During solution review, input conditions, target values, validation methods, and responsible personnel should be documented in a single traceable file; when changes occur, the impacts on design, manufacturing, and delivery should be evaluated simultaneously.Doing this can turn experience into stable, replicable engineering capability.