RAM Preventive & Predictive Maintenance 3 — Questions and Answers
Question 1: In ultrasonic predictive maintenance, what physical phenomenon is being detected when monitoring for compressed air leaks or bearing defects?
- Infrared radiation emitted by turbulent flow or friction
- High-frequency acoustic emissions above 20 kHz generated by turbulence or stress (Correct answer)
- Low-frequency vibration caused by imbalance or misalignment
- Electromagnetic interference from damaged insulation
Correct answer: High-frequency acoustic emissions above 20 kHz generated by turbulence or stress
Ultrasonic testing detects high-frequency sound waves (typically 20–100 kHz) produced by gas turbulence at leak points or stress-wave emissions from bearing defects and electrical arcing.
Question 2: What does a 'fast Fourier transform' (FFT) spectrum analyzer do in a vibration-based predictive maintenance program?
- Converts time-domain vibration waveform data into a frequency-domain spectrum (Correct answer)
- Filters out background noise from vibration signals using a Fourier band-pass filter
- Calculates the overall RMS vibration level for ISO severity comparison
- Predicts remaining useful life using frequency trend analysis
Correct answer: Converts time-domain vibration waveform data into a frequency-domain spectrum
FFT converts a time-domain vibration signal into a frequency-domain spectrum, revealing the amplitude of each frequency component and enabling identification of specific fault frequencies.
Question 3: A predictive maintenance program uses motor current signature analysis (MCSA). Which fault is this technique specifically effective at detecting?
- Bearing outer-race defects from mechanical wear
- Rotor bar cracks or broken rotor bars in induction motors (Correct answer)
- Misalignment between motor and driven equipment
- Soft-foot condition in the motor mounting
Correct answer: Rotor bar cracks or broken rotor bars in induction motors
MCSA detects anomalies in the stator current spectrum; broken or cracked rotor bars produce characteristic sidebands around the supply frequency at specific slip-related intervals.
Question 4: Which parameter is used to define the 'age exploration' strategy in RCM when no historical failure data exists for a component?
- Manufacturer's recommended overhaul interval (OEM TBO)
- Mean Time To Failure estimated from similar equipment populations
- A conservative initial interval that is extended only if no failures are found at inspection (Correct answer)
- The interval at which the first failure has historically occurred in the fleet
Correct answer: A conservative initial interval that is extended only if no failures are found at inspection
When failure data is absent, RCM recommends starting with a conservative (short) interval and extending it incrementally—'age exploration'—based on the condition found at each inspection.
Question 5: ISO 10816-3 vibration severity standards classify machinery vibration based on which measurement?
- Peak vibration velocity in mm/s measured on the bearing housing (Correct answer)
- Peak-to-peak displacement in microns measured on the shaft
- Overall acceleration in g-RMS measured on the machine baseplate
- Crest factor derived from time-waveform analysis
Correct answer: Peak vibration velocity in mm/s measured on the bearing housing
ISO 10816-3 specifies evaluation zones (A through D) for industrial machines based on the broadband RMS vibration velocity (mm/s) measured on non-rotating parts such as bearing housings.
Question 6: A maintenance planner is developing a preventive maintenance task for a centrifugal pump mechanical seal. The task is justified only if it can:
- Reduce the probability of failure to zero over the maintenance interval
- Detect a potential failure before it becomes a functional failure (Correct answer)
- Restore the item to 'as-new' condition regardless of current wear state
- Extend the P-F interval beyond the next scheduled shutdown window
Correct answer: Detect a potential failure before it becomes a functional failure
A scheduled on-condition task (predictive maintenance) is only applicable and effective if it can reliably detect a potential failure condition before functional failure occurs and the P-F interval allows time to act.
Question 7: During a lubrication PM task, a technician notices the grease color has turned black and has a burnt odor. This observation most likely indicates:
- Normal oxidation of the base oil after extended service
- Over-greasing causing excessive churning and heat build-up (Correct answer)
- Contamination from external dust in the environment
- Correct lubrication interval adherence
Correct answer: Over-greasing causing excessive churning and heat build-up
Black, burnt-smelling grease is a classic indicator of thermal degradation caused by over-lubrication, where excess grease churns inside the bearing and generates frictional heat above the grease's thermal limit.
In ultrasonic predictive maintenance, what physical phenomenon is being detected when monitoring for compressed air leaks or bearing defects?