Fault detection for manufacturing home air conditioners using wavelet transform

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• 作者：Jung Hyun Kim
• 关键词：Fault detection ; Wavelet ; Air conditioner ; Impulse noise ; Periodic signal
• 刊名：International Journal of Precision Engineering and Manufacturing
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：17
• 期：10
• 页码：1299-1303
• 全文大小：827 KB
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Materials Science
  
• 出版者：Korean Society for Precision Engineering, in co-publication with Springer Verlag GmbH
• ISSN：2005-4602
• 卷排序：17

文摘

This paper presents a wavelet transform based method of fault detection for manufacturing home air conditioners in a noisy environment. Wavelet transforms have proven to be very sensitive to impulse signals and many signals from faults in air conditioners have impulse signal like characteristics. Normal operational sound levels for air conditioners are substantially lower than a typical manufacturing environment which requires methods that are robust to noise. We have developed several features that have good sensitivity to impulse signals. The effectiveness of the developed method was demonstrated on sound measurements taken from a real manufacturing site.