表紙
市場調查報告書

電力部門預知保全 (PM) - 按主題分析

Predictive Maintenance in Power - Thematic Research

出版商 GlobalData 商品編碼 907757
出版日期 內容資訊 英文 28 Pages
訂單完成後即時交付
價格
Back to Top
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
簡介

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。

企業

趨勢

  • 電力部門趨勢
  • 技術趨勢
  • 宏觀經濟趨勢

產業分析

  • 維修方法的演進:從事後支援到事前支援
  • 預知保全 (PM) 系統的設計
  • 老化的基本設備的預知保全 (PM) 計劃的重要性

案例研究

使用案例

  • 活用預知保全 (PM) ,強化T&D
  • 活用預知保全 (PM) ,提高發電效率
  • 活用預知保全 (PM) ,檢驗、維修

價值鏈

  • 設備層
  • 連接性層
  • 資料層
  • 應用程式層
  • 服務層

企業

  • 預知保全 (PM) 服務供應商
  • 電力公司

附錄:調查手法

目錄
Product Code: GDPE-TR-S015

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.

Scope

  • The report analyses the impact of predictive maintenance as a theme on the power industry.
  • Overview of predictive maintenance theme in the power industry.
  • Detailed analysis of the role of predictive maintenance across the power sector value chain.
  • Evolution of maintenance approaches in the industrial context.
  • Detailed analysis of case studies and use cases involving predictive maintenance technology in the power sector.

Reasons to buy

  • Understand the importance of predictive maintenance in the power industry.
  • Identify the key trends in predictive maintenance theme.
  • Identify the use cases and case studies in which power companies have deployed predictive maintenance technologies to prevent unplanned breakdowns across the operation value chain.
  • Understand the predictive maintenance value chain along with the leaders and challengers at each stage of the value chain.
  • Benchmark the key predictive maintenance service providers and power utilities in the predictive maintenance theme.

Table of Contents

  • PLAYERS
  • TRENDS
  • Power sector trends
  • Technology trends
  • Macroeconomic trends
  • INDUSTRY ANALYSIS
  • Evolution of maintenance approaches - from reactive to proactive
  • Designing a predictive maintenance system
  • Importance of predictive maintenance programs for aging infrastructure
  • CASE STUDIES
  • USE CASES
  • Utilization of predictive maintenance to enhance T&D
  • Utilization of predictive maintenance to enhance power generation efficiency
  • Utilization of predictive maintenance for inspection and maintenance
  • VALUE CHAIN
  • Device layer
  • Connectivity layer
  • Data layer
  • App layer
  • Service layer
  • COMPANIES
  • Predictive Maintenance Service Providers
  • Power Utilities
  • APPENDIX: OUR THEMATIC RESEARCH METHODOLOGY
Back to Top