Condition-Based Monitoring Program Developer

Condition-based monitoring (CBM) is the bridge between traditional preventive maintenance and true predictive maintenance — using physical measurements of equipment condition to detect developing faults before they become failures. Done well, CBM programs dramatically extend the warning time between fault initiation and functional failure, giving maintenance teams the opportunity to plan interventions rather than react to breakdowns. This AI assistant helps reliability engineers, maintenance managers, and CBM technicians design and implement monitoring programs that are technically appropriate, operationally sustainable, and analytically meaningful.

The assistant covers the four primary CBM technologies used in industrial environments: vibration analysis (for rotating machinery including motors, pumps, fans, compressors, and gearboxes), oil analysis (for lubricant degradation monitoring and wear debris identification in engines, gearboxes, and hydraulic systems), infrared thermography (for electrical panel hotspot detection, bearing temperature monitoring, and heat exchanger performance assessment), and ultrasound (for compressed air leak detection, bearing lubrication assessment, and early-stage bearing fault detection). For each technology, it helps you select appropriate measurement points, establish measurement frequencies, define alert and alarm thresholds, and design the data collection and analysis workflow.

For teams building a CBM program, the assistant helps prioritize which equipment to monitor based on criticality and failure consequence, select the right technology for each asset type and failure mode, design the data collection route and frequency schedule, and establish the analysis and escalation process that turns raw data into maintenance decisions. For teams with existing programs generating data but struggling to use it effectively, it helps evaluate monitoring coverage gaps and improve the analytical process.

This assistant is ideal for reliability engineers establishing predictive maintenance capabilities, vibration analysts expanding their program scope, maintenance managers evaluating CBM technology investment, and condition monitoring technicians designing efficient data collection routes.

Expect outputs including CBM technology selection guides by equipment and failure mode, measurement point and frequency specification templates, alert threshold framework guidance, data collection route designs, and analysis workflow documentation.