Condition Monitoring

As the name suggests condition monitoring relates to the monitoring of parameters in machinery or systems as a basis of identifying an existing or developing condition. Just as the human body has symptoms which help a doctor identify fitness, condition monitoring gazes machine or system fitness through measurable parameters. Condition Monitoring or as iAdept refers it to as Predictive Reliability introduces planning into your maintenance requirements and schedules.

While most believe condition monitoring is a cost group, we have increasingly proven the profit / return benefits of deploying technology to judge reliability. Predictive reliability technologies mitigate major looses owing to unexpected failures or downtimes. With scheduled downtimes parts inventory and production losses are a thing of the past. Parts can be ordered when needed avoiding escalated costs & wastage; production losses vanish and finally but most significantly, a failure leading to healthy parts damage, production losses, cost of un-utilized salary is totally avoided.

Components of Condition Monitoring are wide spread with diverse applications for inferring body, machine, material and structural health. Application and usage and expected output by use of specific technology depends heavily on the expert. Technology decision depends on circumstances, environment, materials and functional criticality. Hope you see the connect between Condition Monitoring and Predictive Reliability term coined by iAdept.

Condition Monitoring / Predictive Reliability Technologies:

  • Lubricant Analysis: Analysis of lubricants and oils is usually an offline process conducted through a lab analyzing lubricant properties, suspended contamination and wear debris. Part of Industrial Tribology study, Lubricant Analysis is usually done via continuous sample analysis monitoring trends over machine life span. A recognized and capable lab and a strict analysis plan for trend identification is all that is needed for Lubricant Analysis and related judgement.
  • iAdept though does not promote lubricant analysis as a support mechanism, however has that as an offering for existing customers for ease of dealing with a single partner. iAdept works with leading players as an outsourced partner for Lubricant Analysis.
  • Motor Current Signature Analysis (MCSA): The origins of the concept can be traced back to 1970’s when it was initially proposed for use in nuclear power plants for inaccessible motors or the ones placed in hazard zones. The technique befits from use within normal working and load conditions without operations interruptions. MCSA is a method from wider field of Electrical Signature Analysis (ESA) utilized for generator, power transformers & electric equipment beyond electrical induction motors that MCSA deals with.
  • MCSA detects the following faults:
    • Stator faults (opening or shorting of coils of stator windings) & abnormal windings
    • Bent Shaft which could be catastrophic owing to friction between rotor and stator
    • Bearing and gearbox faults
    • Broken or cracked rotor bar or end rings
    • Air gap irregularities static and/or dynamic
  • iAdept offers products dealing with Motor Current Signal Analysis. We understand the need to constantly monitor the signals for early detection of faults. We understand the benefits of coupling MCSA as a technique in collaboration with Vibration and Thermography and encourage simultaneous as well.

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