contributor author | J. J. Jeng | |
contributor author | Associate Scientist | |
contributor author | C. Y. Wei | |
contributor author | Associate Scientist | |
date accessioned | 2017-05-09T00:08:07Z | |
date available | 2017-05-09T00:08:07Z | |
date copyright | February, 2002 | |
date issued | 2002 | |
identifier issn | 1087-1357 | |
identifier other | JMSEFK-27550#52_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/127140 | |
description abstract | An on-line condition monitoring and diagnosis system for feed rolls was developed for providing early warnings of malfunctions so as to avoid great losses resulting from unexpected shutdown of the production line. This system measures the bearing vibration signals on-line and judges the feed roll condition automatically according to the diagnosis rules stored in the computer. These rules were established based on results of long-term vibration measurements and proved by many real cases to be very effective and reliable. The derivation of these diagnosis rules and the development of the on-line monitoring and diagnosis system based on these rules are depicted in this article. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | An On-line Condition Monitoring and Diagnosis System for Feed Rolls in the Plate Mill | |
type | Journal Paper | |
journal volume | 124 | |
journal issue | 1 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.1286133 | |
journal fristpage | 52 | |
journal lastpage | 57 | |
identifier eissn | 1528-8935 | |
keywords | Bearings | |
keywords | Vibration | |
keywords | Condition monitoring | |
keywords | Patient diagnosis | |
keywords | Signals AND Spectra (Spectroscopy) | |
tree | Journal of Manufacturing Science and Engineering:;2002:;volume( 124 ):;issue: 001 | |
contenttype | Fulltext | |