Ultrasound energy detection
Ultrasound energy detection can be used to detect a potential failure at an early stage. However, one of the drawbacks is that such a measurement technique is very sensitive to background noise. Therefore, it makes it harder to deliver accurate measurements of potential failure.
Vibrations analysis includes the back-and-forth movement or oscillation of components or moving parts. Such analysis type has various pros and cons. You can read more about it in our other blog: Choosing the right IoT vibration sensor
With oil analysis, you can detect the condition of the oil and based on the condition you say something about the machine condition. However, not every machine requires oil or the particular failure mode can’t be detected with the oil quality. This type of analysis depends on the specific machine and failure mode.
Audible noise and thermography analysis
When performing periodic maintenance, audible noises can be detected at particular locations of the machine. The moment a noise is stronger it could indicate that the potential failure mode is soon likely to occur.
Thermography equipment is used to see the temperature spikes at particular locations of the asset. Also, during visual inspection mechanically looseness can be detected. The downside is that when this happens, the machine condition has already degraded much more, making repair more expensive and time-critical.
Smoke and heat analysis
Finally, just before functional breakdown you could detect smoke or the asset has become so hot that you can’t touch certain parts anymore. Whenever this happens, most likely immediate maintenance or even replacement of the asset/part is required. This with increase the maintenance costs and also reduce the plannability to zero leading to longer unplanned downtime.