摘要
在一个多输入-单输出系统中,若输入信号之间非独立,相互存在因果关系或线性影响,可能导致故障原因判断不明。利用基于希尔伯特变换的优先级排序法对相关输入信号进行考察,检验因果关系,确定优先级最高、对输出影响最大的输入。以空调压缩机壳体、压缩机吸气口、膨胀阀低压端、发电机四个主要测点振动信号作为非独立输入,以驾驶员右耳处声信号作为输出,将开空调时车内产生异响频率作为考察目标,利用该方法确定优先级最高信号为压缩机吸气口振动。该方法比传统方法更快捷、高效,易于为企业所采纳。
In a multiple-input single-output （MISO） system, the cause of faults are unlikely to be correctly detected ifinput signals are correlated, or causality and linear effects exist among them. In this case, a method based on HilbertTransform can be used for causality checking and priority ranking for the correlated input signals. In this paper, vibrationsignals of air- conditioning compressor’s shell, inlet, thermostatic expansion valve （TXV） and alternator are measured ascorrelated inputs. Noise signal at driver’s right ear is measured as the output. With the frequency of interior abnormal sound,when the air-conditioning （AC） system is starting, as the target, this method is applied to investigate into the priority rankingof the four correlated inputs. Results show that the vibration signal at the compressor’s inlet has the highest priority.Comparing with traditional approaches, this method is more efficient, easier to apply, and easier to be accepted by carmanufacture companies.
出处
《噪声与振动控制》
CSCD
2016年第3期115-121,共7页
Noise and Vibration Control
基金
重庆大学中央高校基本业务费资助项目(106112013CDJZR13110047)
关键词
声学
车内异响
空调系统
多输入-单输出系统
相关输入
优先级排序
acoustics
interior abnormal noise
air-conditioning （AC） system
MISO system
correlated inputs
priorityranking
