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What are some of the predictive technologies used in condition-based maintenance (CBM)? Please name five and...

What are some of the predictive technologies used in condition-based maintenance (CBM)? Please name five and describe them briefly.

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Vibration Analysis :- Since most industries and plants make use of rotational equipment, vibration analysis plays a major role in detecting machine defects and developing flaws before the equipment fails and potentially damages other related equipment and to avoid unwanted breakdowns and downtime. Vibration analysis can help increase the lifetime of equipment when the faults are diagnosed at the right time. Vibration analysis of a rotating table top model is also done to show that some faults might exist even though they are not visible to the naked eye.

Oil Analysis:- Oil and gas plants run some of the most complex systems in industrial production today.

Wear Particle Analysis:- Wear particle analysis is a powerful technique for non-intrusive examination of oil-wetted parts of a machine. The particles contained in the lubricant carry detailed and important information about the condition of the machine. ... Identifying lubricant contamination problems before costly damages occur.

Ultrasound emission Analysis :- One benefit ultrasound emission testing offers over some other PdM technologies is that no direct contact is not always required and competent testing professionals can scan large areas quickly from safe locations. In some cases, engineers can also perform detailed ultrasound waveform analysis. For electrical systems, ultrasonic testing is often an ideal technology to use in conjunction with IR thermography because together, most potential failure modes are considered.

Infrared thermographic Analysis :- Infrared thermography is the science of acquiring thermal radiation by electronic means and displaying the information as temperature contours on a monitor or video tape.


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