Predictive Maintenance Technologies Flashcards

A reliability technician monitoring a large centrifugal fan with an accelerometer detects a significant peak in the vibration spectrum at exactly two times the running speed (2x RPM), while the peak at 1x RPM is normal. What is the MOST likely cause of this specific vibration signature?

Answer: Parallel Misalignment

A predominant vibration peak at two times the running speed (2x RPM), especially when the 1x RPM peak is not elevated, is a classic indicator of shaft misalignment (either parallel or angular). Imbalance typically shows a high peak at 1x RPM. Mechanical looseness often presents as multiples (harmonics) of running speed, and advanced bearing wear appears at much higher, non-integer frequencies related to the bearing geometry.

When performing an infrared thermography inspection on a new, unpainted, and highly reflective electrical bus bar, which camera setting is MOST critical for the technician to adjust to obtain an accurate temperature measurement?

Answer: Emissivity

Emissivity is a measure of how effectively a surface emits thermal energy. Highly reflective (shiny) surfaces have low emissivity and will reflect the thermal energy from surrounding objects, leading to inaccurate readings. Adjusting the emissivity setting on the thermal imager to match the material's properties is crucial for compensating for this effect and obtaining an accurate temperature measurement. The other settings affect the image display but not the fundamental temperature calculation.

An oil analysis report for a critical industrial gearbox shows a sudden spike in the concentration of large ferrous particles (>10 microns), while viscosity, water content, and acid number remain within acceptable limits. This data is MOST indicative of which failure mode?

Answer: Severe and active mechanical wear of gears or bearings

The presence of large ferrous (iron-based) particles is a direct indicator of significant mechanical wear, such as scuffing or pitting on gears and bearings. Because other key oil properties like viscosity and acid number are normal, it suggests the oil itself is not degraded but that a mechanical failure is actively occurring and shedding large metal fragments into the lubricant.

A maintenance technician is using an airborne ultrasonic detector in a plant with high levels of audible background noise. A distinct, rushing sound is detected through the headphones when the instrument is aimed at a threaded pipe connection in the compressed air system. What is the primary phenomenon being detected?

Answer: High-frequency sound from a pressurized air leak

Airborne ultrasonic instruments are designed to detect high-frequency sounds (typically 20-100 kHz) that are inaudible to the human ear. Pressurized gas leaks create turbulence as they escape, which generates a strong ultrasonic signal. This technology allows leaks to be pinpointed even in loud environments because the instrument filters out the lower-frequency, audible background noise.

A reliability engineer needs to select the most appropriate predictive technology to detect a cracked or broken rotor bar in a large induction motor while it is operating under its normal load. Which technology is BEST suited for this specific task?

Answer: Motor Current Signature Analysis (MCSA)

Motor Current Signature Analysis (MCSA) is the premier technology for detecting rotor bar faults in an induction motor while it is running under load. A broken rotor bar causes a distinct modulation in the stator current, which appears as sideband frequencies around the main 50/60 Hz peak in the current's spectrum. The other technologies are not effective for this specific internal, electrical fault under operating conditions.

In the context of the P-F Curve, which represents the degradation of an asset from potential failure (P) to functional failure (F), where would high-frequency ultrasonic analysis MOST likely provide the earliest warning of a developing fault in a rolling element bearing?

Answer: Very early in the curve, often defining the initial point of potential failure (P)

High-frequency ultrasonic analysis is one of the earliest detection methods for rolling element bearing failures. It can detect the subtle sounds of microscopic cracking, surface fatigue, and lubrication issues long before they generate enough energy to be seen as vibration or heat. Therefore, it is used to identify the very beginning of the P-F interval, establishing the point of potential failure (P).