電力部門向け予知保全 (PM) - テーマ別分析
Predictive Maintenance in Power - Thematic Research
|出版日||ページ情報||英文 28 Pages
|電力部門向け予知保全 (PM) - テーマ別分析 Predictive Maintenance in Power - Thematic Research|
|出版日: 2019年07月19日||ページ情報: 英文 28 Pages||
予知保全 (PM) は、電力部門に不可欠です。
当レポートでは、電力部門向け予知保全 (PM) について調査分析し、産業分析、ケーススタディ、バリューチェーン、主要企業などについて、体系的な情報を提供しています。
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.