Machinery Lubrication magazine published by Noria Corporation
Issue link: https://www.e-digitaleditions.com/i/1206285
AS I SEE IT of the condition monitoring tasks, which are equally important to the outcome. Condition monitoring timing could be continuous (e.g., an online sensor) with little human interaction or periodic using inspec- tion tasks and data collection, such as with portable devices. e frequency of these tasks has everything to do with the results achieved. Of course, certain machines can do just fine with no condition monitoring at all (run to failure). Consider the following analogy: Regardless of the fisherman's exper- tise, no fish will be caught if his hook is not in the water. e same is true with detecting root causes and active machine faults. Technicians can only detect if they are performing condi- tion monitoring tasks that effectively target known failure modes. is periodicity is where inspec- tion by a well-trained operator or technician has an advantage over technology-based condition moni- toring. For instance, sight-glass oil analysis can be performed daily, unlike laboratory oil analysis, vibra- tion analysis and ultrasound, which often are scheduled at monthly or quarterly intervals. Condition 4 | January - February 2020 | www . machinerylubrication.com RELIABILITY ZONES TIMING (Based on the P-F Interval) PRECISION/SKILLS/TOOLS (Knowing what to do and how to do it) AMBER YELLOW GREEN RED High Cost of Unreliability Low Cost of Reliability 1. Proactive (root-cause oriented) A. High (Skillful) Knowledge-based, quality tools and methods Late Fault Detection Missed Root Cause Detection or Late Fault Detection Missed Fault Detection Early Fault or Root Cause Detection Early Root Cause Detection B. Moderate C. Low (Wild Guess) Trial-and-error based 2. Predictive (early fault detection oriented) 3. Protective (damage control) 1A 2A 3A 1B 3B 2B 1C 2C 3C Figure 2. An example of a detection zone table DETECTION DETECTION DIAGNOSIS PROGNOSIS Portable Data Collection Devices and Field Inspections Online Sensors Lab Analysis Symptom Rationale and Data Analytics Deviations from Norm Duty Cycle Severity Stress Cycle Accumulation Failure Modes and Criticality Analysis Component Identification Impending Failure Incipient Failure Preventive or Root Remedies Required Corrective Maintenance Required OK Figure 1. An example of the available options for collecting data and arriving at decisions relating to the health of equipment