Leak can be detected and leak point can be found according to negative pressure wave. But negative pressure wave always contain much noise signal, including circumstance noise of inspection point, work noise of pump and instability flow noise of liquid, this reduce the leak detection veracity. For this, a appropriate filtering is used to remove noise signal and get actual signal. The noise signal is calm and stochastic and can't predict. Base on the measure data, the signal model and noise parameter are reckoned online, system output data are feed back to adaptive filtering. The value of adaptive filtering repeated plus is rectified online, which make noise power of system output is minimally and the noise is real time controlled. Considering the classical LMS algorithm feature is constringency slow-footed, a novel variable step size algorithm is used to filter the pipelining pressure wave signal and enhance signal-to-noise ratio. The filter result indicates the pressure wave signal's signal-to-noise ratio is enhanced, which improve the veracity of pipelining leak detection.
展开▼
