Analysis of motor fan radiated sound and vibration waveform by automatic pattern recognition technique using “Mahalanobis distance”

Subject Areas : Mathematical Optimization

Eiji Toma ¹

1 - National Institute of Technology, Tomakomai College, Tomakomai, Japan

Received: 2020-10-08 Accepted : 2020-10-08 Published : 2020-03-01

Keywords: MT system . Mahalanobis distance (MD) . Feature value . Effectiveness analysis,

Abstract :

In recent years, as the weight of IT equipment has been reduced, the demand for motor fans for cooling the interior of electronic equipment is on the rise. Sensory test technique by inspectors is the mainstream for quality inspection of motor fans in the field. This sensory test requires a lot of experience to accurately diagnose differences in subtle sounds (sound pressures) of the fans, and the judgment varies depending on the condition of the inspector and the environment. In order to solve these quality problems, development of an analysis method capable of quantitatively and automatically diagnosing the sound/vibration level of a fan is required. In this study, it was clarified that the analysis method applying the MT system based on the waveform information of noise and vibration is more effective than the conventional frequency analysis method for the discrimination diagnosis technology of normal and abnormal items. Furthermore, it was found that due to the automation of the vibration waveform analysis system, there was a factor influencing the discrimination accuracy in relation between the fan installation posture and the vibration waveform.

References:

Hasegawa Y (2007) Story of MT System, Japan Science and Technology Unit, pp 6–11
Mori T (2005) Application and mathematics of the Taguchi methods. In: Optimization engineering using the Taguchi methods, trendy book, Mori Engineer Office, Shizuoka, pp 323–338, 511–583
Noda S (2014) Noise and vibration of motor and countermeasure design method, Scientific Information Publication, pp 19–32, 103–123
Suzuki M (2012) Introduction to MT system analysis method, Nikkan Kogyo Shimbun, pp 7–101

Taguchi G (1992) Quality engineering lecture no. 5, Quality engineering casebook—Japan public, Japan Standards Association, pp 1–12
Taguchi G (2002) Evaluation technology for optimization design, Japan Standards Association, pp 189–200
Taguchi G (2008) Technology development in MT system, Japan Standards Association, pp 27–37
Tamura K (2009) New technology of pattern recognition by quality engineering, Japan Standards Association, pp 26–85
Teshima S (2012) Introductory MT system. Japan Science and Technology Publishing, Tokyo, pp 33–57
Teshima S, Tamura K, Hasegawa Y (2017) Standardization and Quality Control 2017. J Jpn Stand Assoc 70(7):2–31
Wakui Y (2014) Multivariate analysis understanding, Technical commentary, pp 190–200
Yano H (2002) Introduction to quality engineering numeration, Japan Standards Association, pp 271–286
Yano H (2004) Technology development of the information design with the computer-Simulation and MT system, Japan Standards Association, pp 310–368
Yano H (2011) Quality engineering guide to raise an engineer power, Japan Standards Association, pp 219–235