supported by the National Natural Science Foundation of China(Grant Nos.51109230,50679085)
The leak detection is of great importance in the reliable operation and management of a pipeline system. Recently, attention is shifted to the use of the time domain or frequency domain methods based on the transient ...
supported by the National Natural Science Foundation of China (Grant Nos. 51109230, 50679085);the Special Funds of IWHR (Grant No. 0912)
A further development of exclusively inverse frequency domain method for leak detection in pipelines is presented and validated.The location and leakage can be determined by analyzing the difference of transient water...
the National Natural Science Foundation of China (Grant No. 50679085)
A pre-filter combined with threshold self-learning wavelet algorithm is proposed for hydraulic pressure signals denoising. The denoising threshold is self-learnt in the steady flow state, and then modified under a giv...