Data Fusion Method in Thermal Process Based on Serial Adaptive Noise Canceller
Since the data in thermal power plant is vulnerable to various noise interference,this paper presents a twoorder tandem-type adaptive noise canceller,whose ANC and ALE are connected in series to improve signal accuracy.As to the data fusion of multiple sensors,a weighted optimal allocation criteria is used as the key fusion algorithm combined with a distributed fusion architecture model in order to improve data processing method and data availability.Finally,the simulation based on a heat release signal calculated model shows that the calculated heat signal data is less volatile but more stable,and that the denoising effect is obvious.
serial adaptive noise cancellerdata fusionadaptive noise cancelleradaptive line enhancerheat release signal
NETL
NSTL
万方数据
维普
