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Gear fault detection using non-conta...
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Queen's University (Canada).
Gear fault detection using non-contact magnetic rotation position sensors.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Gear fault detection using non-contact magnetic rotation position sensors./
作者:
Taylor, Michael.
面頁冊數:
119 p.
附註:
Source: Masters Abstracts International, Volume: 50-05, page: .
Contained By:
Masters Abstracts International50-05.
標題:
Engineering, Mechanical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR77192
ISBN:
9780494771921
Gear fault detection using non-contact magnetic rotation position sensors.
Taylor, Michael.
Gear fault detection using non-contact magnetic rotation position sensors.
- 119 p.
Source: Masters Abstracts International, Volume: 50-05, page: .
Thesis (M.A.Sc.)--Queen's University (Canada), 2011.
This thesis is an investigation of possible applications for a low cost non-contact magnetic rotational position sensor. A single stage gearbox operating spur gears was instrumented with these sensors along with typical optical encoders. These rotational position devices were used independently to measure gearbox Transmission Error (TE) during operation. Basic filtering techniques were used to condition the TE so that localized faults were observable. Characteristic feature extraction on the TE using RMS, Kurtosis and Crest Factor was used to quantify gearbox dynamics. These features were able to measure dynamic changes in gearbox health, such as wearing in the gears or the progression of a fault resulting in full tooth failure. These sensor attributes are ideal for machine condition monitoring applications where catastrophic failure can be forewarned by incipient fault detection.
ISBN: 9780494771921Subjects--Topical Terms:
845387
Engineering, Mechanical.
Gear fault detection using non-contact magnetic rotation position sensors.
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This thesis is an investigation of possible applications for a low cost non-contact magnetic rotational position sensor. A single stage gearbox operating spur gears was instrumented with these sensors along with typical optical encoders. These rotational position devices were used independently to measure gearbox Transmission Error (TE) during operation. Basic filtering techniques were used to condition the TE so that localized faults were observable. Characteristic feature extraction on the TE using RMS, Kurtosis and Crest Factor was used to quantify gearbox dynamics. These features were able to measure dynamic changes in gearbox health, such as wearing in the gears or the progression of a fault resulting in full tooth failure. These sensor attributes are ideal for machine condition monitoring applications where catastrophic failure can be forewarned by incipient fault detection.
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