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Journal ArticleDOI

A comparison between the modified spectrogram and the pseudo-Wigner-Ville distribution with and without modification

J.C. Moss, +1 more
- 01 May 1994 - 
- Vol. 8, Iss: 3, pp 243-258
TLDR
In this paper, a modified pseudo-Wigner-Ville distribution (PWVD) was applied to the spectrogram for time-frequency analysis of monocomponent signals.
About
This article is published in Mechanical Systems and Signal Processing.The article was published on 1994-05-01. It has received 12 citations till now. The article focuses on the topics: Spectrogram & Instantaneous phase.

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Citations
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Journal ArticleDOI

Fuzzy Diagnosis Method for Rotating Machinery in Variable Rotating Speed

TL;DR: In order to effectively diagnose faults for rotating machinery in the variable rotating speed, a novel diagnosis method is proposed based on time-frequency analysis techniques, the automatic feature extraction method, and fuzzy inference.
Journal ArticleDOI

Analysis of the multiple-solution response of a flexible rotor supported on non-linear squeeze film dampers

TL;DR: In this article, the behavior of a flexible rotor supported on two identical squeeze film dampers with centralizing springs is studied by three methods: synchronous circular centred-orbit motion solution, numerical integration method and slow acceleration method using the assumption of a short bearing and cavitated oil film; the differences of computational results obtained by the three different methods are compared.
Journal ArticleDOI

Time-Frequency and Ambiguity Function Approaches in Structural Identification

TL;DR: In this article, a method based on the time-frequency representation and some properties of the ambiguity function is proposed to identify the natural frequencies, draw the modal shapes, and detect nonlinearity in such testing conditions.
Journal ArticleDOI

Automated condition classification of a reciprocating compressor using time–frequency analysis and an artificial neural network

TL;DR: In this paper, the authors developed an automated system for condition classification of a reciprocating compressor using a probability neural network (PN) based on three indices: time index, frequency index, and amplitude index.
Journal ArticleDOI

Multidimensional decomposition of time-varying vibration response signals in rotating machinery

TL;DR: In this article, a new method for decomposition of speed-dependent vibration signals measured on rotating machinery is presented, which uses a number of measured signals from an array of sensors to decompose the vibration response into: (1) the direction of the progression of motion; (2) its frequency content; (3) the various wavelengths; and (4) speed of rotation (or time).