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- Title
The Impact of Effective Prognostic Techniques (Predicting Remaining Useful Life) on Successful Implementation of Total Productive Maintenance in the Power Industry.
- Authors
Alseiari, A. Y.; Farrell, P.
- Abstract
The power industry has recognised the significance of implementing Total Productive Maintenance (TPM) as a maintenance strategy to enhance its proactive techniques and improve power asset reliability. Successful power utilities have sufficient failure data that predicts accurate times to failure of their power assets, based on condition monitoring techniques. Power transformers are the most expensive elements and their faults are particularly costly. Therefore, detection of power transformer failures at an early stage is important to assure reliable and efficient operation. The aim of this research is to investigate the critical role of prognostic techniques and how they can drive successful implementation of TPM in the power industry through planned maintenance pillar. The research presents an innovate technique for early fault detection and diagnosis in power transformers based on paper degradation analysis. This method uses measurements obtained from a power distribution industry in the Abu Dhabi of the degradation factor of power transformer paper insulation (degree of polymerisation - DP values) over time, from condition monitoring data that is obtained through dissolved-gas analysis (DGA). The mathematical exponential model uses degradation measurements DP values of paper insulation for multiple power transformers to extrapolate these measurements over time, and hence predicts potential failure times before they occur. This is based on a prognostic technique that utilises Relia Soft's Weibull++ software. The results of this research show that successful implementation of TPM in the power industry can be achieved through appropriate techniques of predictive maintenance within the planned maintenance pillar of TPM, thus increasing availability, performance, quality and reliability rates by preventing sudden failure of power transformers.
- Subjects
ECONOMIC life of fixed assets; CONDITION-based maintenance; MONITORING of machinery
- Publication
International Journal of COMADEM, 2018, Vol 21, Issue 3, p48
- ISSN
1363-7681
- Publication type
Abstract