Machine equipment sound monitoring method in strong noise environment

The invention discloses a machine equipment sound monitoring method in a strong noise environment. The method comprises the following steps: S1, sample data acquisition; S2, adaptive noise cancellation; S3, sample data preprocessing; S4, sample data feature extraction; S5, hidden Markov model training; S6, actually measured sound acquisition; S7, preprocessing; S8, feature extraction; and S9, result recognition. According to the invention, the sound of the monitored machine equipment during operation and the sound of the surrounding environment are respectively collected, and sample data collection is convenient, real and effective; by adopting an adaptive noise cancellation technology, a signal output by the adaptive filter can approach a noise signal to the maximum extent, so a pure sound signal of the monitored machine equipment is obtained; and the HMM has a rigorous data structure and reliable calculation performance, and can well describe the randomness and the real-time performance of sound signals emi