Industrial Machinery Fault Diagnosis
Industrial machinery spans motors, gearboxes, bearings, pumps, conveyors and the drives and controls that run them. It's a multi-discipline world where the boundary between electrical and mechanical causes is where many faults hide. Wiresight helps engineers work across that boundary in a structured way and capture each repair as reusable knowledge.
Common equipment
- Motors
- Gearboxes
- Bearings
- Pumps
- Conveyors
- Sensors
- Drives
- PLCs
- Hydraulics
- Pneumatics
- Control systems
Common maintenance challenges
- Varied asset types demanding broad diagnostic knowledge
- Mechanical wear — bearings, gears, couplings — masquerading as electrical faults
- Lubrication and contamination-related failures
- Multi-discipline faults crossing electrical and mechanical trades
- Retaining diagnostic knowledge across a diverse asset base
Common fault types
- Bearing wear and overheating
- Gearbox noise and failure
- Pump seal and cavitation faults
- VFD trips and overload
- Sensor failure and misalignment
- Hydraulic leak and pressure loss
- Control and PLC faults
Example diagnostic scenario: "Conveyor drive overheats on long run"
- 1Is the drive reporting an overload or thermal alarm?
- 2Is the motor loading within rating (mechanical load as expected)?
- 3Is the gearbox/bearing free of abnormal noise and heat?
- 4Is the drive cooling and enclosure ventilation adequate?
- 5Is the conveyor mechanically free (no drag or obstruction)?
- 6Are the sensor and feedback readings consistent with the load?
An illustrative diagnostic structure — not a substitute for site procedures or competent engineering.
How Wiresight helps
Wiresight structures the diagnosis across electrical and mechanical causes so engineers don't jump to the wrong trade, and captures each resolution so a recurring overheating drive comes with documented causes rather than a fresh investigation.
Relationship with your CMMS
Your CMMS holds the asset and work order; Wiresight adds the cross-discipline diagnostic path, so mechanical and electrical causes are both captured against the machine.
Engineering knowledge capture
Multi-discipline knowledge is the hardest to retain. Wiresight captures it as reusable templates and history so the team diagnoses across the electrical–mechanical boundary consistently.