Paper Title:
Data Dimension Reduction and Visualization with Application to Multi-Dimensional Gearbox Diagnostics Data: Comparison of Several Methods
  Abstract

In recent years we face the growing interest in building automated diagnosis systems detecting ‘normal’ or ‘abnormal’ functioning of a system. But little is known about the distribution and shape of the data describing 'normal' functioning. The shape of the data is of paramount importance in determining the mathematical model of the data serving for the diagnosis. We got real industrial data by gathering vibration signals of a gearbox working in a mine excavator operating in time-varying conditions. The main considered problems are: what is the shape of the recorded 15-dimensional data and what kind of outliers may be found there? We have used for this purpose pseudo grand tour, PCA and simple auto-associative neural network. The methods used proved to be very effective in answering our questions.

  Info
Periodical
Solid State Phenomena (Volume 180)
Chapter
Chapter 3: Diagnostics
Edited by
Zygmunt Kitowski, Jerzy Garus and Piotr Szymak
Pages
177-184
DOI
10.4028/www.scientific.net/SSP.180.177
Citation
A. Bartkowiak, R. Zimroz, "Data Dimension Reduction and Visualization with Application to Multi-Dimensional Gearbox Diagnostics Data: Comparison of Several Methods", Solid State Phenomena, Vol. 180, pp. 177-184, 2012
Online since
November 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Bong Suk Kim, Soo Hun Lee, Jong Soo Kim, Jun Yeob Song
Abstract:The importance of evaluation and establishment during product development process, for the reliability and safety of mechanical system and...
1535
Authors: Wang Lan Tian
Abstract:Fuzzy neural network, which can deal with complex data and prediction process that other algorithms can not accomplish, has become a focus in...
930
Authors: Yang Cheng, Yang Liang, Luo Hong
Chapter 2: Mechanic Manufacturing System
Abstract:The management and sharing of varied automotive intake and exhaust system data makes it imperative for modern automotive companies. Based on...
397
Authors: Bing Chen, Xue Qin Hu, Bei Zhan Wang, Yin Huan Zheng
Chapter 5: Biotechnology, Chemical and Materials Engineering
Abstract:This paper proposed a new hybrid spectral clustering algorithm in which Mean Impact Value (MIV) was used in the cost dimension reduction. The...
695
Authors: Guang Fei Jia, Jian Ping Xuan, Bo Wu, You Min Hu, Yao Cheng
Chapter 4: Applied Mechanics and Other Topics
Abstract:During machining some ultra-intense and special-shaped parts, unstability and surface ablation often turn up. Some large and heavy parts are...
895