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Hilbert transform 1

NH3-SCR (selective catalytic reduction) 1

V2O5/CeO2 catalysts 1

blasting source 1

dam 1

disabled 1

dynamic monitoring 1

elastic wave 1

envelope analysis 1

excitation signal 1

extended Park’s vector approach 1

extended stochastic resonance (SR) 1

identification precision 1

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incipient broken bar 1

incipient fault detection 1

incipient yield pressure 1

induction motor 1

inspection of incipient fault 1

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A Laboratorial Method for Determining Incipient Yield Pressure of Thick Wall Cylinder

Zhang Yuxian’,Liao Zhenfang,Wang Hong ,Pei Jianghong

Strategic Study of CAE 2005, Volume 7, Issue 11,   Pages 72-75

Abstract:

Based on the relation between the incipient yield pressure and the limit of yielding in cylinder accordingto the elastic disabled rule, a laboratorial method of determining the incipient yield pressure is designedThe incipient yield pressure of the cylinder is gained by analyzing the experimental data.

Keywords: thick wall cylinder     disabled     incipient yield pressure    

A Blasting Sources-Based Approach to Inspection of Faults in Dam

Zhou Hougui,Tan Kaiyan

Strategic Study of CAE 2007, Volume 9, Issue 4,   Pages 79-82

Abstract:

An approach to inspection of incipient faults in dam by non_d estructiveprinciples, system integrity and key items of the new blasting source-based technology for inspection of incipient

Keywords: blasting source     dam     inspection of incipient fault     elastic wave     dynamic monitoring     excitation signal    

Characterization and performance of V

Caiting LI, Qun LI, Pei LU, Huafei CUI, Guangming ZENG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 156-161 doi: 10.1007/s11783-010-0295-x

Abstract: supported V O catalysts with various loadings were prepared with different calcination temperatures by the incipient

Keywords: /sub>O5/CeO2 catalysts     NH3-SCR (selective catalytic reduction)     the incipient    

A new and best approach for early detection of rotor and stator faults in induction motors coupled to variable loads

Abderrahim ALLAL,Boukhemis CHETATE

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 176-191 doi: 10.1007/s11708-015-0386-2

Abstract: Today, induction machines are playing, thanks to their robustness, an important role in world industries. Although they are quite reliable, they have become the target of various types of defects. Thus, for a long time, many research laboratories have been focusing their works on the theme of diagnosis in order to find the most efficient technique to predict a fault in an early stage and to avoid an unplanned stopping in the chain of production and costs ensuing. In this paper, an approach called Park’s vector product approach (PVPA) was proposed which was endowed with a dominant sensitivity in the case in which there would be rotor or stator faults. To show its high sensitivity, it was compared with the classical methods such as motor current signature analysis (MCSA) and techniques studied in recent publications such as motor square current signature analysis (MSCSA), Park’s vector square modulus (PVSM) and Park-Hilbert (P-H) (PVSM ). The proposed technique was based on three main steps. First, the three-phase currents of the induction motor led to a Park’s vector. Secondly, the proposed PVPA was calculated to show the distinguishing spectral signatures of each default and specific frequencies. Finally, simulation and experimental results were presented to confirm the theoretical assumptions.

Keywords: induction motor     incipient broken bar     extended Park’s vector approach     spectral analysis     inter-turn short-circuit    

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: To catch symptoms of machine failure as early as possible, one of the most important strategies is to apply more progressive techniques during signal processing. This paper presents a method based on stochastic resonance (SR) to detect weak fault signal. First, a discrete model of a bistable system that can demonstrate SR is researched, and the stability condition for controlling the selection of model parameters of the discrete model and guarantee the solving convergence are established. Then, the frequency range of the weak signals that the SR model can detect is extended through a type of normalized scale transformation. Finally, the method is applied to extract the weak characteristic component from heavy noise to indicate the little crack fault in a bearing outer circle.

Keywords: extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

Crack fault quantitative diagnosis based on finite element of B-spline wavelet on the interval

XIANG Jia-wei, CHEN Xue-feng, HE Zheng-jia, HE Yu-min

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 177-182 doi: 10.1007/s11465-006-0001-7

Abstract: The new method can be applied to prognosis and quantitative diagnosis of incipient crack.

Keywords: one-dimensional     B-spline     incipient     prognosis     identification precision    

Title Author Date Type Operation

A Laboratorial Method for Determining Incipient Yield Pressure of Thick Wall Cylinder

Zhang Yuxian’,Liao Zhenfang,Wang Hong ,Pei Jianghong

Journal Article

A Blasting Sources-Based Approach to Inspection of Faults in Dam

Zhou Hougui,Tan Kaiyan

Journal Article

Characterization and performance of V

Caiting LI, Qun LI, Pei LU, Huafei CUI, Guangming ZENG

Journal Article

A new and best approach for early detection of rotor and stator faults in induction motors coupled to variable loads

Abderrahim ALLAL,Boukhemis CHETATE

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Crack fault quantitative diagnosis based on finite element of B-spline wavelet on the interval

XIANG Jia-wei, CHEN Xue-feng, HE Zheng-jia, HE Yu-min

Journal Article