DIAGNOSIS OF THE TAPPING PROCESS BY INFORMATION MEASURE AND PROBABILITY VOTING APPROACH

被引：23

作者：

CHEN, YB

SHA, JL

WU, SM

机构：

[1] Department ot Industrial and Systems Engineering, University of Michigan-Dearborn, Dearborn, MI

[2] Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI

[3] Department of Mechanical Engineering and Applied Mechanics, University of Michigan, Ann Arbor, MI

[4] Department of Mechanical Engineering and Applied Mechanics, University of Michigan, Ann Arbor

来源：

JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME | 1990年 / 112卷 / 04期

关键词：

D O I：

10.1115/1.2899594

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A new method for the diagnosis of the tapping process using the information measure and multiple probability voting scheme is proposed. Considering the features of short cutting-duration and the large uncertainties existing in a tapping process, a set of indices based on the time-domain statistical analysis has been formed. These indices have then been evaluated and ranked using an algorithm that calculates the information gain of each index about the tapping process. The final classification decision can be made by a voting scheme based on the conditional probability functions for multiple indices. Furthermore, the information gains estimated in the index evolution process can be used as a weighting function during voting to improve efficiency and reliability. From a tapping test, which includes five different tapping conditions, a success rate of 95 percent has been achieved. © 1990 by ASME.

引用

页码：319 / 325

页数：7

共 13 条

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