Technology & Digital Tools Flashcards

Which digital analysis technique uses the principle of light scattering to count and size particles in a hydraulic fluid sample?

Answer: Laser particle counting

Laser particle counters direct a laser beam through the fluid sample; particles scatter light in proportion to their size, enabling automated counting and sizing per ISO 4406.

When configuring a CMMS lubrication route, what scheduling parameter BEST accounts for the variable operating hours of intermittently run equipment?

Answer: Meter-based interval triggered by run-hour accumulation from an OPC-UA data feed

For equipment with variable usage, meter-based scheduling tied to actual run hours via OPC-UA data integration ensures lubrication occurs at the correct usage milestone, not arbitrary calendar dates.

A predictive maintenance dashboard shows a sudden spike in a compressor's oil particle count ISO code from 17/15/12 to 20/18/15. What is the MOST likely immediate action?

Answer: Investigate the cause of the particle spike and consider expedited oil sampling and inspection

A three-level jump in ISO particle count is a significant alarm requiring root-cause investigation, not simply recalibration, as it may signal a filter bypass, seal failure, or major wear event.

Which emerging sensor technology can measure oil viscosity, density, and dielectric constant simultaneously in real time without removing a sample?

Answer: MEMS (micro-electromechanical systems) in-line fluid sensors

MEMS-based in-line sensors use vibrating elements and capacitive measurements to simultaneously quantify viscosity, density, and dielectric constant of oil flowing through the lubrication circuit.

In a lubrication management software system, what is the purpose of a 'lubricant cross-reference' or 'consolidation' module?

Answer: To identify where different branded lubricants with equivalent specifications are used, enabling product rationalization

Cross-reference modules map equivalent lubricants across brands and grades, allowing facilities to consolidate the number of products stocked and reduce cross-contamination risk.

What type of machine learning model is MOST commonly applied in advanced oil analysis platforms to classify oil condition as 'normal,' 'watch,' or 'critical'?

Answer: Multi-class classification model trained on historical labeled oil analysis data

Multi-class classification models trained on large datasets of historical oil analysis results with known outcomes can accurately assign condition categories to new samples.

A lubrication professional wants to verify that a new automated grease dispensing system is delivering the correct volume per cycle. Which tool provides the MOST accurate verification?

Answer: Volumetric measurement using a calibrated syringe or graduated cylinder over multiple cycles

Collecting output from multiple cycles into a calibrated syringe or graduated cylinder and averaging gives an accurate per-cycle volume, confirming correct dispenser calibration.