scholarly journals Diagnosis for gear tooth surface damage by empirical mode decomposition in cyclic fatigue test

2014 ◽  
Vol 8 (3) ◽  
pp. JAMDSM0039-JAMDSM0039 ◽  
Author(s):  
Qingrong FAN ◽  
Kiyotaka IKEJO ◽  
Kazuteru NAGAMURA ◽  
Masato KAWADA ◽  
Mitsuo HASHIMOTO
Keyword(s):  
Fatigue Test ◽  
Empirical Mode Decomposition ◽  
Gear Tooth ◽  
Surface Damage ◽  
Cyclic Fatigue ◽  
Tooth Surface ◽  
Mode Decomposition

Study of Practical Use of the Gear Tooth Surface Damage Diagnosis using a Laser Beam

2016 ◽  
Vol 2016.16 (0) ◽  
pp. B4-4
Author(s):  
Eiichirou TANAKA ◽  
Keyaki NAKAJIMA ◽  
Kazunari OKABE ◽  
Hitoshi TAKEBE ◽  
Kazuteru NAGAMURA ◽  
...  
Keyword(s):  
Laser Beam ◽  
Gear Tooth ◽  
Surface Damage ◽  
Tooth Surface ◽  
Damage Diagnosis

Development of the Easy Set-Up and In Situ Automatic Gear Diagnostic System Using a Laser Beam

2015 ◽  
Author(s):  
Keyaki Nakajima ◽  
Eiichirou Tanaka ◽  
Kazunari Okabe ◽  
Hitoshi Takebe ◽  
Kazuteru Nagamura ◽  
...  
Keyword(s):  
Laser Beam ◽  
Rotation Speed ◽  
Gear Tooth ◽  
Diagnostic System ◽  
Surface Damage ◽  
Tooth Surface ◽  
Rotary Encoder ◽  
Contour Maps ◽  
Reflection Data ◽  
Set Up

We developed a method which can diagnose damage on a gear tooth surface by using laser beam without a rotary encoder. This method is as follows: 1) The tooth bottom, the tooth tip and their two medians are detected by the differentials of the laser reflection data. 2) The gear rotation speed is calculated with these four positions, and interpolated according to the rotation fluctuation. 3) By using the calculated gear rotation speed, the measured data can be converted corresponding to the gear rotation angle. Thus we diagnose gear tooth surface damage without being influenced by rotational fluctuation. We did diagnosis experiments and we made contour maps show diagnosis accuracy. From these maps, we got the following conclusions: 1) The accuracy of damage diagnosis is the same level regardless of the presence or absence of a rotary encoder. 2) The cycle of rotational fluctuation hardly affects the accuracy. 3) Bigger fluctuation amplitude makes the range accuracy worse, however the position accuracy improves.

Gear Local Fault Diagnosis with Empirical Mode Decomposition and Hilbert Huang Transformation

2011 ◽  
Vol 199-200 ◽  
pp. 899-904 ◽  
Author(s):  
Zhen Nan Han ◽  
Jian Xin Gao
Keyword(s):  
Fault Diagnosis ◽  
Empirical Mode Decomposition ◽  
Instantaneous Frequency ◽  
Signal Analysis ◽  
Physical Simulation ◽  
Gear Tooth ◽  
Vibration Signal ◽  
Vibration Energy ◽  
Mode Decomposition ◽  
Vibration Signal Analysis

A new method for gear local fault diagnosis based on vibration signal analysis is presented in this paper by using the concept of instantaneous frequency. The data from the physical simulation are used to detect the change in the instantaneous frequency and meshing vibration energy of the gear tooth fault by Empirical Mode Decomposition and Hilbert Huang Transformation (EMD-HHT). It is verified that method is effective by rig testing of geared system.

scholarly journals In Situ Diagnosis of a Gear-Tooth Surface Damage Using Laser Scattering

2011 ◽  
Vol 5 (3) ◽  
pp. 199-213 ◽  
Author(s):  
Eiichirou TANAKA ◽  
Kazuteru NAGAMURA ◽  
Kiyotaka IKEJO ◽  
Ryozo NEMOTO
Keyword(s):  
Gear Tooth ◽  
Surface Damage ◽  
Tooth Surface ◽  
Laser Scattering
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