Multi-dimensional spectral analysis of the noise contribution from a drum washer with a dehydrating condition

Abstract

Recently, there has been a growing consumer interest in the amount of noise produced by household electrical appliances. The designer of the product must determine the source of the noise, in order to eliminate the source. In the case of a household electric appliance such as the washing machine, the consumer's complaint was about the noise that is generated during the dehydrating condition. However, in the case of the washing machine, it is difficult to identify the noise source when the washing machine uses the dehydrating condition. Several noise sources combine making it difficult to determine the key factor that contributes to the noise output. Multi-Dimensional Spectral Analysis (MDSA) is a method that can remove the correlation between different noise sources, and it expresses the key contributing factor as a unique output. This study utilized MDSA to analyze the contribution of each noise source in the output during the dehydrating condition.

Identification of Automotive Seat Rattle Noise Using an Independent Component Analysis-Based Coherence Analysis Technique

“…, respectively, and a ij is defined as the element of the mixing matrix. Then, Equation ( 10) can be represented as a vector matrix shown in Equation (11).…”

“…The noise source identification method using these contributions assumes that the inputs are independent of each other when the correlation is removed. When the locations of the signal sources are clear and far from each other (namely, the sources are independent and do not affect each other), the coherence analysis method is widely used [11,12]. In particular, the partial coherence function (PCF) is applied when the inputs are highly correlated with each other [13,14].…”