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The IUP Journal of Electrical and Electronics Engineering:
Condition-Based Predictive Maintenance Strategy for Electrical Machines: A User's Perspective
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Electrical machines are widely used in all areas of modern life in domestic and industrial applications. In a large system, these machines are used to fulfil a number of objectives either independently or as a part of a complex process, employing a number of such units. To ensure the optimum performance of these machines, a number of maintenance strategies are used. This paper gives some insight into different maintenance techniques and presents some views on how a condition-based predictive maintenance strategy can be successful in today's competitive and legislative environment. Any maintenance strategy must ensure that all necessary work is carried out without wasting any time on activities which are not really needed. The goal must be to ensure that the safety and integrity of the installation are maintained, while at the same time, allowing all production targets to be met in a cost-effective manner.

 
 
 

At present, most maintenance activities are carried out by the preventive or the breakdown maintenance approach. The former suffers from occasional over maintenance (or under maintenance) and the latter suffers from system outages because of breakdown and time taken for the repair work. Predictive maintenance or Condition-Based Maintenance (CBM) differs from preventive maintenance as it fixes the maintenance need on the actual condition of the machine rather than on some preset schedule. In other words, CBM is a set of maintenance activities based on real-time assessment of equipment condition, which is obtained from embedded sensors and/or external measurements taken by portable sensing equipments. A comprehensive CBM-based predictive maintenance strategy can be based on a combination of a number of CBM tools, like thermal imaging, vibration monitoring or other non-destructive sensing methods, to obtain the actual operating condition of a critical plant component.

With the advent of new technologies, a number of new condition monitoring techniques have come up for the electrical equipments, such as motor, alternator and transformers. The following sections give a brief introduction to various condition monitoring techniques.

Temperature Measurement: Temperature measurement (for example, temperature indicating paint, thermography, pyrometer for measuring the emitted IR radiations from a surface, etc.) can detect potential failures related to temperature changes in an equipment. Temperature changes can indicate conditions such as excess mechanical friction due to faulty bearings or inadequate lubrication, and degraded heat transfer at poor electrical connections like loose or corroded connections.

Dynamic Monitoring: Dynamic monitoring (for example, spectrum analysis, shock pulse analysis, etc.) measures and analyzes energy emitted from mechanical equipments in the form of vibrations, pulses or acoustic effects, as the changes in the vibration characteristics of equipment can indicate problems such as misalignment, damage, imbalance, and wear and tear.

 
 
 

Electrical and Electronics Engineering Journal, Electrical Machines, Industrial Applications, Maintenance Strategies, Temperature Measurement, Dynamic Monitoring, Mechanical Equipments, Statistical Process, Condition Monitoring Techniques, Electrical Connections, Electrical Signature Analysis, Electrical Insulation, Electrical Power Consumption, Electronic Database, Development Process.