Adaptive Microphone Array Technique for Remote Monitoring of Components in Nuclear Power Plants

Abstract

Acoustic sensing technique provides an efficient measure to detect and diagnose incipient failures occurred in plant components. The study reported here investigates the feasibility of adaptive super-directive microphone array technique for detection and localization of anomaly in nuclear power plants. The technique extracts anomaly information of objective components from the acoustic signals obtained. a t geometrically arranged multiple microphones. A specific signal processing was used to obtain a super-directive sensitivity of the microphone array and to adapt the sensitivity following the acoustic environmental change. Two adaptive sensing algorithms have been developed and implemented in a personal computer, and their abilities to extract the objective acoustic signal have been tested through numerical simulation. For appropriate number of the microphones, the satisfactory performance of the sound extraction has been obtained within reasonable computational load. The practical applicability of this technique to component monitoring in nuclear power plants has been confirmed through the present study.KEY WORDS: adaptive sensor array, super-directive sensing, acoustic monitoring, failure detection, failure localization, diagnostic techniques, nuclear power plants, reactor components, constrained least mean squares method, finite impulse response filter, auto-regressive mod el, feasi bi Zi t y