scholarly journals Estimation Method for Crushing Strength and Sampling Inspection Method for Si3N4 Rolling Bearing Balls.

1993 ◽  
Vol 42 (480) ◽  
pp. 1090-1095 ◽  
Author(s):  
Yutaka ABE ◽  
Nagatoshi OKABE ◽  
Masahiro ICHIKAWA
Keyword(s):  
Estimation Method ◽  
Rolling Bearing ◽  
Crushing Strength ◽  
Inspection Method ◽  
Sampling Inspection

RESEARCH ON CONDITION MONITORING OF SPEED REDUCER OF INDUSTRIAL ROBOT WITH ACOUSTIC EMISSION

2016 ◽  
Vol 40 (5) ◽  
pp. 1041-1049 ◽  
Author(s):  
Xiaoqin Liu ◽  
Xing Wu ◽  
Chang Liu ◽  
Tao Liu
Keyword(s):  
Acoustic Emission ◽  
Industrial Robot ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Transmission System ◽  
Industrial Robots ◽  
Inspection Method ◽  
Term Operation ◽  
Operation Speed ◽  
Speed Reducer

Articulated industrial robots are widely used for factory automation, e.g., the car manufacture industry. As other machines, the transmission system of industrial robot is prone to fail after long term operation. Speed reducer is the key component of the transmission system, and it is important to detect its incipient faults to avoid breaking down. However, until now, few techniques have been proposed to diagnose the reducer without disassembly. Our research on monitoring and diagnosing the speed reducer of industrial robot is reported in this paper. The technique combines inspection method of acoustic emission and signal processing of vibration signal. The characteristics of acoustic emission signal and their connections with mechanical parts of robot reducer have been studied. A defect in the rolling bearing was detected on a welding robot by this technique and confirmed in disassembly.

Sampling Inspection Method for Life Prediction of Smart Meters

2013 ◽  
Vol 846-847 ◽  
pp. 756-759
Author(s):  
Yang Xue ◽  
Xin Lei Zhang ◽  
Peng He Zhang ◽  
Cheng Dong Xiao
Keyword(s):  
Mathematical Model ◽  
Sample Size ◽  
Life Prediction ◽  
Mathematical Statistics ◽  
Smart Meter ◽  
Smart Meters ◽  
Inspection Method ◽  
Sampling Inspection ◽  
The Mathematical Model ◽  
Sampling Parameter

For the purpose of life prediction of smart meters, an analysis on the method of sampling inspection for smart meter with mathematical statistics is presented in this paper. Firstly, this paper introduces the sampling approaches for smart meters for inspection. Secondly, the mathematical model of sample size is established and the effect of sampling parameter on the accuracy of evaluation is discussed. Finally, on the basic of the mathematical model, the smart meters in Hei Longjiang province of China is token as an example and the sampling size is achieved.

An Improved Parameter Estimation Method for Three-Parameter Weibull Distribution in the Life Analysis of Rolling Bearing

2012 ◽  
Vol 569 ◽  
pp. 442-446 ◽  
Author(s):  
Feng Long Yin ◽  
Ya Shun Wang ◽  
Chun Hua Zhang ◽  
Xiang Po Zhang
Keyword(s):  
Parameter Estimation ◽  
Weibull Distribution ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Rolling Bearing ◽  
Accurate Estimate ◽  
Distribution Model ◽  
Bearing Life ◽  
Mechanical Products ◽  
Life Analysis

Three-parameter Weibull distribution is playing a more and more important role in the reliability analysis of mechanical products. It can provide higher accuracy and better reflection of reliability in operating situation concerning fitting and parameter estimation for the rolling bearing life data. This paper focuses on the theory derivation of the maximum likelihood estimation of the three-parameter Weibull distribution, puts forward an improved method for the model parameter estimation and draws the life distribution model. Following that, the method has been proved to be correct and accurate by practical examples.The proposed method can provide a more accurate estimate way for the life analysis of rolling bearing based on three-parameter Weibull distribution.

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