基于小波分析的柴-燃联合动力装置信号消噪  

Elimination of Noise from Signals for a CODOG Plant Based on a Wavelet Analysis

作　　者：田颖[1] 李淑英[2] 

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044 [2]哈尔滨工程大学动力与能源工程学院,黑龙江哈尔滨150001

出　　处：《热能动力工程》2007年第3期264-266,343-344,共3页Journal of Engineering for Thermal Energy and Power

基　　金：海军预研基金资助项目(23.8.1.2)

摘　　要：在柴-燃联合动力装置试验台试验过程中,为消除测量信号中各种噪声和干扰的影响,减少测量数据试验偏差,保证试验数据的正常使用,以3S离合器中间件位移信号为例,采用db3小波进行5层分解,选用heursure软阈值进行小波系数阈值量化,然后进行重构,从而实现信号消噪。实验分析表明,利用小波分析进行信号消噪,原理简单,实现方便,具有很高的可靠性,消噪后的信号为提高整个系统在动力方面机动性的可行性提供了依据。During the tests of a CODOG (combined diesel or gas turbine) plant on a test stand, to eliminate the impact of various kinds of noise and interference on measurement signals, minimize the test error of measured data and ensure a normal use of the test data, the following measures were taken to realize the elimination of noise from the signals with the displacement signals from the intermediate parts of a SSS clutch serving as an example. The measures include: the use of dB3 wavelets to conduct a 5-layer dissolution and the selection of heursure soft threshold values to perform a quantification of wavelet coefficient threshold values followed by a restructuring of signals. The tests and analysis show that the use of the wavelet analysis for achieving the elimination of noise from the signals is simple in theory, featuring an ease of its realization and an extremely high reliability. The signals after noise elimination provide a solid basis for fostering the feasibility of power-related maneuverability of the whole system.

关 键 词：船用动力装置 小波分析 柴-燃联合 信号消噪 

分 类 号：U664.16[交通运输工程—船舶及航道工程] O422.8[交通运输工程—船舶与海洋工程]