电力部门预知保全 (PM) - 按主题分析

Predictive Maintenance in Power - Thematic Research

出版日期: 2022年05月30日 | 出版商:

GlobalData | 英文 42 Pages | 订单完成后即时交付

价格

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简介目录

预知保全 (PM) ，对电力部门是不可或缺的。

本报告提供电力部门预知保全 (PM) 调查分析，产业分析，案例研究，价值链，主要企业等相关的系统性资讯。

企业

趋势

电力部门趋势
技术趋势
宏观经济趋势

产业分析

维修方法的演进:从事后支援到事前支援
预知保全 (PM) 系统的设计
老化的基本设备的预知保全 (PM) 计划的重要性

案例研究

使用案例

活用预知保全 (PM) ，强化T&D
活用预知保全 (PM) ，提高发电效率
活用预知保全 (PM) ，检验、维修

价值链

设备层
连接性层
资料层
应用程式层
服务层

企业

预知保全 (PM) 服务供应商
电力公司

附录:调查手法

简介目录

Product Code: GDPE-TR-S050

Predictive maintenance tools assess the condition of operational equipment and allow users to foresee any necessary maintenance requirements, in order to attain optimum performance and avoid potentially costly equipment failures.

Remote monitoring is a crucial element of predictive maintenance, and remote and centralized observation platforms have boosted the decision-making process. There has been a rising interest in decision models for predictive maintenance, triggered by failure predictions. Over the next decade, predictive maintenance tools will become even more widespread across the critical infrastructure in the power industry, as they provide operational and financial fluidity through the use of technology.

Older power plant facilities face the increased risk of unplanned downtime. These may contribute to excess greenhouse gas (GHG) emissions. Using predictive maintenance tools, the performance of older power plant equipment can be enhanced. The COVID-19 pandemic also alerted the power industry to the perils of shortages of skilled maintenance personnel, especially in the case of equipment breakdowns in remote locations. Predictive maintenance can help improve human resource allocation, thereby boosting productivity and enhancing utilities' financial position and brand value, leading to increased customer satisfaction.

The emergence and swift growth of innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI), augmented and virtual reality (AR/VR), big data, and cloud computing have shaped the maintenance strategies of the power industry. The base measurement technologies for predictive maintenance-such as vibration monitoring and thermal imaging-have also improved, as huge amounts of data and analytical capabilities are available, thanks to the rise in digital transformation projects across the power industry.

Scope

Overview of the evolution of predictive maintenance as a theme and key technologies employed.
Review of application of predictive maintenance strategies in power industry.
Detailed analysis of the predictive maintenance value chain, its role within the power value chain, and corresponding participation of major players.
Highlighting of the various industry, technology, and macroeconomic trends influencing the predictive maintenance theme.
Assessment of the strategies and initiatives adopted by power companies to gain a competitive advantage in this theme.

Reasons to Buy

Identify the key industry, technology, and macroeconomic trends impacting the predictive maintenance theme.
Deployment of predictive maintenance strategies in power industry.
Understand the predictive maintenance value chain and the key players in it.
Identify and benchmark key power utility players and power system services companies based on their competitive positioning in the predictive maintenance theme.