Improving the transmission error source tracing method for gear hobbing machines

2022 ◽  
Vol 14 (1) ◽  
pp. 168781402110729
Author(s):  
Wanhua Zhao ◽  
Zhuang Liu ◽  
Yong Yang ◽  
Zheng Zou ◽  
Ruizhi Shu ◽  
...  
Keyword(s):  
Harmonic Analysis ◽  
Transmission Error ◽  
Gear Pair ◽  
Analysis Method ◽  
Error Source ◽  
Source Tracing ◽  
Gear Hobbing ◽  
Test Platform ◽  
Harmonic Analysis Method ◽  
Tracing Method

By considering the uncertainness of initial measuring position of encoders and signal sidebands caused by the fault gear pair, this paper presented a new comprehensive harmonic analysis method for the transmission error of gear hobbing machine. Based on that, a test platform was established, in which two circle grating encoders were connected to the hob spindle and workpiece spindle respectively. With the help of this new harmonic analysis method as well as the self-developed test platform, a new improved transmission error fault diagnosis method was developed for the gear hobbing machines. To verify its accountability, a case study was conducted on a YS-type gear hobbing machine. According to the spectrum amplitude comparison and the analysis of harmonic frequency distribution, the fault transmission gear pair was successfully located. This improved transmission error source tracing method was very helpful for quantifying both the manufacturing qualities and assembly qualities of parts and locating potential error source for new gear hobbing machines.

scholarly journals Application of a non-linear damped harmonic analysis method to the normal modes of the Earth

2008 ◽  
Vol 45 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Severine Rosat ◽  
Toshio Fukushima ◽  
Tadahiro Sato ◽  
Yoshiaki Tamura
Keyword(s):  
Harmonic Analysis ◽  
Normal Modes ◽  
Analysis Method ◽  
The Earth ◽  
Non Linear ◽  
Harmonic Analysis Method

scholarly journals RANDOM NOISE ASSESSMENT IN AERIAL AND SATELLITE IMAGES

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 771-775
Author(s):  
I. Anikeeva ◽  
A. Chibunichev
Keyword(s):  
Harmonic Analysis ◽  
Satellite Images ◽  
Image Quality Assessment ◽  
Random Noise ◽  
Satellite Image ◽  
Image Noise ◽  
Analysis Method ◽  
Random Image ◽  
Noise Assessment ◽  
Harmonic Analysis Method

Abstract. Random noise in aerial and satellite images is one of the factors, decreasing their quality. The noise level assessment in images is paid not enough attention. The method of numerical estimation of random image noise is considered. The object of the study is the image noise estimating method, based on harmonic analysis. The capability of using this method for aerial and satellite image quality assessment is considered. The results of the algorithm testing on model data and on real satellite images with different terrain surfaces are carried out. The accuracy estimating results for calculating the root-mean-square deviation (RMS) of random image noise by the harmonic analysis method are shown.

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