Dissertation > Excellent graduate degree dissertation topics show

Vector spectrum system compatibility key technology research

Author: DuanFei
Tutor: HanJie
School: Zhengzhou University
Course: Mechanical and Electronic Engineering
Keywords: Vector spectrum Information Fusion Signal Analysis Compatibility BP Network Troubleshooting
CLC: TH165.3
Type: Master's thesis
Year: 2009
Downloads: 14
Quote: 0
Read: Download Dissertation

Abstract

Full information on the previous two-dimensional analysis of the rotating machinery fault diagnosis effect is undoubted. However, in the application process and the traditional analysis methods is difficult to establish a bridge between the relationship and the inevitable. On the one hand the formal requirements of the rotor perpendicular sensor strictly a two-way information; hand analysis spectrum analysis is difficult to inherit the tradition has accumulated a large number of diagnostic rules. Homology-based information fusion processing vector spectrum be improved, information analysis and research in the whole tradition of communicating between the bridge. Vector spectrum analysis is for a series of rotating machinery vector signal analysis methods in general. It combines the dual-channel data, while retaining the traditional spectral analysis have physical significance. This paper mainly done as follows: 1. First, from the theoretical analysis of a cross section of the rotor multi-sensor information fusion, information fusion discusses numerical calculation formula is simple and fast to get the rotary section features information value, and conducted experimental studies, Experimental results show that the vector spectrum analysis method can inherit the tradition of the corresponding spectral analysis. 2, followed by full vector spectral analysis technique based on the theory of vector spectrum system conducted in-depth research. Explore the full information analysis and traditional analysis of the intrinsic link between conventional, full vector spectrum analysis discusses the fusion algorithm taking into account the channel information, the traditional spectral analysis method is a special case of vector spectrum, experimental study carried out to illustrate the full vector spectrum technology with traditional spectrum analysis as well as in the expression pattern of expression of compatibility. 3 To explore vector spectrum analysis technology in intelligent diagnosis of compatibility, traditional methods of vibration frequency and fault relationships with full vector spectrum system is consistent. Vibration as an information factor can directly reflect the operational status of the rotor is normal or not, it is the main basis for fault diagnosis. And vector spectrum analysis techniques combined with BP neural network as an example, the power spectrum is characterized by full vector vectors, BP neural network classifier. And cracked rotor, the rotor misalignment, oil whirl example experimental study, experimental results show that the vector spectrum technology in the intelligent diagnosis compatibility. 4. Equipment fault diagnosis technology since its birth in industrial production gained widespread application. Domestic and foreign scholars in practical work has accumulated a lot of experience in engineering diagnostics and diagnostic rules. These diagnostics experience and diagnostic rules remains a field engineering and technical personnel of the main reference in the production practice, play a leading role. These together a large number of previous research experience in the diagnosis and diagnostic rules, mostly built on the traditional basis of spectral analysis. Analysis and diagnosis in the study to explore new methods to build a bridge between the traditional method, inherit and carry forward these valuable experience in the diagnosis and diagnostic rules, no doubt for new ways of promotion, application and popularization of important practical significance. In this paper, the rotor misalignment, oil whirl two fault diagnosis rules are discussed and diagnostic experience in engineering examples to explain the full vector spectrum analysis can be applied directly previous diagnosis ideas and diagnostic rules, and more reasonable.

Related Dissertations

CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Flexible manufacturing systems and flexible manufacturing cell > Fault diagnosis and maintenance
© 2012 www.DissertationTopic.Net Mobile