This invention discloses an acoustic identification method and
system for compressor
flutter faults, relating to the field of engine
condition monitoring and fault diagnosis technology. The method includes the following steps: optimizing the acoustic
measurement point array
layout and installing
sound pressure sensors according to the array
layout; acquiring signals through the
sound pressure sensor array and preprocessing the signals; identifying non-integer-order abnormal frequencies and detecting frequency lock-in on the preprocessed signals; calculating the complex coherence between each channel
signal and the reference channel and the phase of each channel
signal at the locked frequency point; calculating the circumferential order k and wave direction of the
flutter using a spatial matching
algorithm; performing
flutter identification and outputting the flutter identification result. This method can accurately identify the circumferential order and traveling wave direction online, effectively alleviating spatial
aliasing problems. Furthermore, the
algorithm is lightweight and easy to deploy in real-time on air, providing an efficient and reliable
engineering solution for early warning and stability monitoring of compressor flutter.