01Dynamic fault signature
Equipment Fault Acoustic Diagnosis
Acoustic records are compared with known equipment states so changes in frequency and amplitude retain mechanical meaning.
- Acoustic signature
- State comparison
Applications & case studies
Industrial signals, preserved in their operating context.
These cases show how acoustic, vibration and strain measurements relate to equipment geometry, operating state and the position of a developing fault.
How to read the cases
An industrial signal is credible when its mechanical source remains identifiable.
Dynamic signals change with speed, load, mounting and background noise. Useful evidence therefore links the waveform to a known machine state and a defined sensing location.
- Where
- Conveyor, roof panel, machine line or equipment zone
- What
- Acoustic signature, vibration, strain and temperature
- Why
- Localize abnormal behavior and compare it with normal operation
Field references
Three assets, three ways to connect signal and source.
01
02Large-area structure
Smart Roof Panel Monitoring
Distributed measurements follow the roof structure and reveal how response varies across a broad surface.
- Large-area coverage
- Structural response
03Continuous equipment line
Mining Belt Conveyor
A sensing cable along the conveyor preserves both the dynamic signal and the location of a developing roller fault.
- Long equipment line
- Fault localization
Evidence example
Location turns a vibration waveform into an operational record.
For long industrial equipment, detecting vibration is only the first step. The measurement becomes actionable when the event is tied to a position, operating state and repeatable signal feature.
- Signal
- Dynamic waveform
- Position
- Fault location
- State
- Operating reference
Related monitoring approach
Need the monitoring logic behind industrial equipment?
The industrial solution connects equipment geometry and operating state to cable coupling, acquisition rate and event interpretation.
Discuss a monitoring requirement
Bring the equipment layout, operating cycle and abnormal event.
These inputs establish what should be sensed and where the signal should be referenced.