電力部門預知保全 (PM) - 按主題分析
Predictive Maintenance in Power - Thematic Research
|出版日期||內容資訊||英文 28 Pages
|電力部門預知保全 (PM) - 按主題分析 Predictive Maintenance in Power - Thematic Research|
|出版日期: 2019年07月19日||內容資訊: 英文 28 Pages||
預知保全 (PM) ，對電力部門是不可或缺的。
本報告提供電力部門預知保全 (PM) 調查分析，產業分析，案例研究，價值鏈，主要企業等相關的系統性資訊。
Predictive maintenance is an integral part of the power sector…
Predictive maintenance tools examine the condition of operational equipment and help to foresee its maintenance needs in order to attain optimum performance and avert any equipment failure. It involves automated condition monitoring along with advanced data analytics to collect crucial equipment statistics - such as vibration, temperature, sound, and electric current - and compare them with historical records of similar equipment to find signs of deterioration.
…helping to enhance productivity and reduce costs
Power utilities, with their heterogeneous assets, have to deal with the crucial task of monitoring and maintaining their assets, while functioning with increased efficiency and reliability levels. Through the utilization of predictive maintenance technologies, power utilities can detect underperforming assets and enable the operating staff or personnel to comprehend factors leading to abnormal operations, and accordingly schedule maintenance activities. This early detection of any abnormal operations enables power utilities to make use of limited maintenance resources in a more cost-effective manner, maximize equipment uptime, and boost quality and supply chain processes, eventually enhancing utilities' financial position, brand value, and leading to increased customer satisfaction.