Konferensartikel

Rotating Machinery Library for Diagnosis

Tatsuro Ishibashi
Meidensha Corporation, Japan

Bing Han
Department of Mechanical & Physical Engineering, Osaka City University, Japan

Tadao Kawai
Department of Mechanical & Physical Engineering, Osaka City University, Japan

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17132381

Ingår i: Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Linköping Electronic Conference Proceedings 132:43, s. 381-387

Visa mer +

Publicerad: 2017-07-04

ISBN: 978-91-7685-575-1

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper presents our new rotating machinery library. Diagnosing the complex system accurately based on stochastic method requires an enormous amount of data, both with and without faults. Acquiring operation data with all kinds of faults for each components is very hard and costly. To generate data for rotating machinery diagnosis, we developed rotating machinery library using Modelica. It provides the basic components such as rotor, shaft, bearing, coupling, housing and support. Its component models are implemented on basis of rotor dynamics theory. This library makes it possible accessing rotating machinery operation data with various faults such as unbalanced rotor, shaft bending and ball bearing faults. To validate our models, we compared both Modelica simulation and experiment with a rotor kit as a test case.

Nyckelord

Rotating Machinery, Vibration, Diagnosis

Referenser

COMEDI Control and Measurement Interface http://www.comedi.org/

DLR, Optimization Library for Dymola Version 2.2.2 Tutorial, 2016.

Gianni Ferretti, Marco Gritti, Gianantonio Magnani, Gianpaolo Rizzi and Paolo Rocco. Real-Time Simulation of Modelica Models under Linux / RTAI. Proceedings of the 4th Modelica Conference 2005, pp. 359-365 Hamburg, Germany.

Yukio Ishida and Toshio Yamamoto, Linear and Nonlinear Rotordynamics: A Modern Treatment with Applications, 2nd Edition, Wiley-VCH, 2012.

Matthew Klenk, Johan de Kleer, Daniel G. Bobrow and Bill Janssen Using Modelica Models for Qualitative Reasoning. Proceedings of the 10th International Modelica Conference pp. 205-211, Lund, Sweden. doi: https://doi.org/10.3384/ecp14096205

Raj Minhas, Johan de Kleer, Ion Matei, Bhaskar Saha, Bill Janssen, Daniel G. Bobrow and Tolga Kurtoglu. Using Fault Augmented Modelica Models for Diagnostics. Proceedings of the 10th International Modelica Conference 2014, pp. 437-445, Lund, Sweden. doi: https://doi.org/10.3384/ecp14096437

Osami Matsushita, Masato Tanaka, Hiroshi Kanki, Masao Kobayashi and Patrick Keogh Vibrations of Rotating Machinery Springer Japan, 2017. doi: https://doi.org/10.1007/978-4-431-55456-1

Citeringar i Crossref