Predictive maintenance is becoming smarter, thanks to artificial intelligence (AI) and the Internet of Things (IoT). Facilities are adopting sensor technology and machine learning algorithms to monitor equipment in real time, detect early signs of wear, and prevent failures before they happen. This reduces unplanned downtime, lowers costs, and extends asset life. 

In today’s competitive industrial landscape, operational efficiency and asset reliability are more critical than ever. One proven approach to achieving these goals is predictive maintenance, a strategy that leverages data and advanced technologies to anticipate equipment failures before they occur. This article explores the predictive maintenance benefits that industrial facilities can unlock to reduce costly downtime, improve safety, and extend the lifespan of critical assets.

Maintaining asset operations to ensure the system runs smoothly and effectively is imperative to the success of any industrial company. Enhancing the life-cycle value of such assets enables companies to save thousands of dollars by eliminating the need for costly, untimely repairs. Life-cycle value focuses on the time involved, cost per investment, maintenance costs, and reliability costs.

Managed Area Programs (MAPs) offer tools to restore asset reliability and reduce unproductive spending for maintenance. A&G Industrial Services can develop and help maintain a customized MAP for your system. A MAP is a process that will identify the root cause of a failure, the potential failure population, the failure rate, and develop the appropriate inspection and repair method to stay ahead of future failures.

A power generation station’s critical cooling water infrastructure, originally installed in the 1950s, had become outdated and posed significant risks. With five previous successful composite wrap solutions to systems with identical failures, A&G Industrial Services was well-equipped to address this challenge. The key concerns for this project include: