Predictable non-evasive maintenance in chemicals industry for low voltage Intelligent Motor Control System (IMCS): Case study

Traditionally, maintenance is viewed as necessary evil that is required to be performed to keep the plant equipments healthy. Today on an average in a typical chemical plant, 65% of maintenance performed is corrective, 35% of maintenance is preventive, of which 60% may not be necessary. On the other hand, end users drive towards operational excellence is at the core to be competitive in a market place in a longer term. It´s no secret that the paradigm shift is towards improvement in maintenance practice as one of the major initiative since a substantial savings and productivity gain can be possible with a better maintenance practice than the one prevailing today. The focus shift is to enable proactive and predictive maintenance practice. This paper shares the End User´s far-reaching and analytical analysis of the asset monitor technology for the possibility to enable condition base predictive maintenance practice based on a practical usage of the technology..