• See How SRP Gained Asset, Plant & Fleet Reliability


Salt River Project (SRP) provides generation, transmission and distribution services, as well as metering and billing services to over 1 million customers in the Phoenix metro area. They operate 12 power plants, including coal, nuclear, natural gas and renewable sources (hydroelectric, solar, wind, and geothermal). SRP was looking for a solution that would allow them to integrate data across multiple plants for outage management, to optimize maintenance strategies and to understand where production issues might occur next. They also wanted to identify opportunities to extend monitoring across their transmission and distribution-critical assets. With today’s complex business environment, increased public scrutiny and regulatory oversight, SRP wanted a smarter approach to sustained reliability for the most efficient power production possible. To obtain that level of availability, SRP needed a means to readily analyze the data of their generation assets in a cohesive and consolidated manner.


SRP chose GE’s Asset Performance Management (APM) solution to consolidate machine sensor data across 11 of their 12 plant locations and over 500 assets. The solution uses advanced modeling, protected by over 40 patents, to put into context the normal operating relationships among all relevant parameters, such as load, temperatures, pressures, vibration readings and ambient conditions. In real time, the software compares actual sensor readings to that particular machine’s normal, predicted values.


By consolidating SRP’s data and applying GE’s robust analytics, experience and innovation, SRP has gained a high level of asset, plant and fleet reliability. SRP is now able to see problems before they happen — toward no unplanned downtime and improving fleet reliability through GE’s Asset Performance Management (APM) solution. With GE APM, SRP has been able to mitigate unplanned issues and costs while ensuring a continued strategic and planned maintenance process. It has shifted from unplanned outages to planned outages, significantly reducing maintenance costs, optimizing asset life, and improving availability.


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