Intelligent condition monitoring solutions driving sustained plant reliability
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Condition monitoring is in a phase of rapid technological advancement
CM finds itself at the forefront of development in the fields of Maintenance Management and Asset Management.
With the onset of Industrial Internet of Things (IIoT), significant advances have been made on gathering real-time data remotely and utilising big data concepts to analyse, trend and diagnose potential failure patterns and preventing breakdowns. It has also positioned predictive maintenance to play a more significant strategic role. It paves the way for broader utilisation of artificial intelligence in support of complex risk-based inspection and maintenance management models, taking risk management to new levels.
Sensor technology has a major impact on the feasibility of available condition monitoring techniques. This impacts precision maintenance, quality assurance, factory acceptance testing and asset life expansion. It also assists with improved safety and HSSE systems.
Some CM techniques for critical electrical plant
Reliability engineers and practitioners have a wide range of condition monitoring techniques to select from. Only those on top of their game have employed some of the following techniques aimed at critical electrical assets:
- Fibre-optic distributed monitoring
- Vibration (also used in preventing cable theft)
- VLF, Tan Delta and Capacitance measurement
- Partial discharge analysis
- Partial arcing detection
- Dissolved Gas Analysis (DGA)
- SF6 gas analysis
- Phase angle analysis
- Stray Flux monitoring
- Shaft voltage and current monitoring
- Ultrasound detection (on electrical failure modes)
Our collection of TechTalks address these techniques in detail.