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電力部門向け予知保全 (PM) - テーマ別分析

Predictive Maintenance in Power - Thematic Research

発行 GlobalData 商品コード 907757
出版日 ページ情報 英文 28 Pages
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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
概要

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。

企業

動向

  • 電力部門動向
  • 技術動向
  • マクロ経済動向

産業分析

  • メンテナンスアプローチの進化:事後対応から事前対応へ
  • 予知保全 (PM) システムの設計
  • 老朽化したインフラに対する予知保全 (PM) プログラムの重要性

ケーススタディ

ユースケース

  • 予知保全 (PM) を活用して、T&Dを強化
  • 予知保全 (PM) を活用して、発電効率を向上
  • 予知保全 (PM) を活用して、検査・メンテナンス

バリューチェーン

  • デバイス層
  • コネクティビティ層
  • データ層
  • アプリ層
  • サービス層

企業

  • 予知保全 (PM) サービスプロバイダー
  • 電力ユーティリティ

付録:調査手法

目次
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
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