A new technology being tested by California utilities is aimed at diagnosing problems before they cause power outages or spark wildfires. The technology was invented by researchers at Texas A&M University.
Applying concepts of pattern recognition and advanced signal processing to more than a decade of data, a team of Texas A&M University researchers has developed a new technology called Distribution Fault Anticipation (DFA). It has the capability to not only help utility providers find the cause of outages but to also anticipate and predict some failures before outages occur. (Their published research, Application of DFA Technology for Improved Reliability and Operations, was presented at the 2017 Institute of Electrical and Electronics Engineers Rural Electric Power Conference in Columbus, Ohio.)
Simply put, they’ve been ‘listening’ to the electric grid for more than a decade to analyze signals and identify which ones indicate a potential problem. Conceptually, it is not much different from an auto mechanic who can hear a problem in an old engine and know exactly what is causing it. Practically, however, this is an entirely new technology.