Predictive Maintenance in Power Market Report 2022: Evolution of Maintenance: from Reactive to Proactive - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Predictive Maintenance in Power - Thematic Research" report has been added to ResearchAndMarkets.com's offering.

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.

Report 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.

Companies Mentioned

• Enel
• EDF Energy
• Duke Energy
• E.ON
• Southern Company
• American Electric Power
• Aker Solutions
• Emerson
• GE
• ABB
• Honeywell
• Teledyne FLIR
• SKF
• Parker Hannifin
• Bosch
• Fluke
• Vodafone
• AT&T
• Verizon
• Cisco
• HPE

For more information about this report visit https://www.researchandmarkets.com/r/law8v7

Source: GlobalData

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