The invention relates to the technical field of sealing performance testing, in particular to a
breather valve performance online testing method for oil and gas storage and transportation, which comprises the following steps: acquiring a vibration
signal of a
breather valve body, a multi-band acoustic
signal of a
valve port and a total pressure
signal in a
storage tank; performing multi-scale complex
wavelet decomposition, and constructing a time frequency-energy correlation feature
tensor; the total pressure signal and the time frequency-energy correlation characteristic
tensor serve as a combined observation value and are input into a preset continuous
Gaussian mixture
hidden Markov model containing four hidden states of sealing, transient micro-leakage,
continuous leakage and full-amount opening, and the
posterior probability is calculated; and calculating to obtain a real-time
leakage rate. According to the method, the opening pressure can be accurately determined, the real-time
leakage rate can be quantitatively calculated after the leakage state is recognized, comprehensive and accurate quantitative
online evaluation of core performance parameters of the
breather valve is achieved, and the multi-source
information fusion degree and the anti-interference capacity are improved.