CEEMD与Lempel-Ziv复杂度相结合的滚动轴承损伤程度评估方法
Damage Assessment Method for Rolling Bearings Combined CEEMD with Lempel-Ziv Complexity

针对不同损伤程度的滚动轴承其内、外圈故障在背景噪声影响下难以检测的问题，提出补充总体平均经验模态分解（Complementary ensemble empirical mode decomposition，CEEMD）与Lempel-Ziv复杂度（简称LZC指标）分析相结合的滚动轴承损伤程度评估方法。首先，对滚动轴承振动信号进行CEEMD分解，得到多个IMF（Intrinsic mode function）分量；然后，基于峭度最大准则选取有效IMF分量并计算其Lempel-Ziv复杂度综合指标；最后，根据Lempel-Ziv复杂度综合指标的变化规律判断滚动轴承的损伤程度，并基于6σ原则给出了不同损伤程度的滚动轴承内、外圈故障Lempel-Ziv复杂度取值区间。将该方法应用于滚动轴承的损伤程度评估，分析结果表明了该方法的有效性和可行性。
Aiming at the difficult detection of inner and outer ring faults in the rolling bearings with different damage degrees under the influence of background noise, a new evaluation method of damage degree based on the complementary ensemble empirical mode decomposition(CEEMD) and Lempel-Ziv complexity(LZC index for short) is proposed. First of all, vibration signal of fault rolling bearing is decomposed into a number of intrinsic mode function (IMF) components. Then, the effective IMF component is picked up based on the kurtosis maximum criterion so that the comprehensive index of Lempel-Ziv complexity can be calculated. Finally, the damage degree of the fault rolling bearings is judged based on the variation rule of Lempel-Ziv complexity, and the value interval of Lempel-Ziv complexity is determined reasonably among rolling bearings with different degrees according to 6 sigma principle. The experimental results of this method to damage degree evaluation of rolling bearings have shown the effectiveness and feasibility of the proposed method