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Anomaly detection in Electromechanical systems using Symbolic Dynamics

Name: Anomaly detection in Electromechanical systems using Symbolic Dynamics
Brand: VDM Verlag
SKU: 9783639136760
Price: 327.64 RON
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Autor: Amol Khatkhate

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Editura: VDM Verlag

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327.64 lei

Major catastrophic failures in large scale§engineering systems (e.g., aircraft, power plants and§tur...

Informații despre carte

Autor

Amol Khatkhate

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

156

EAN

9783639136760

ISBN

3639136764

Enbook ID

06822350

Editura

VDM Verlag

Greutate

458

Dimensiuni

228 x 151 x 18

Descriere completă

Major catastrophic failures in large scale§engineering systems (e.g., aircraft, power plants and§turbo-machinery) can possibly be averted if the§malignant anomalies are detected at an early stage.§This dissertation experimentally validates a novel§method called Symbolic Time Series Analysis(STSA) for§anomaly detection in electromechanical systems,§derived from time series data of pertinent measured§variable(s).§In this dissertation, the performance of§this anomaly detection method is compared with that§of other existing pattern recognition techniques from§the perspectives of early detection of fatigue damage§in Al-2024. The experimental apparatus, on which the§anomaly detection method is tested, is a multi-degree§of freedom mass-beam structure excited by oscillatory§motion of two electromagnetic shakers. The evolution§of fatigue crack damage at one of the failure sites§is detected from STSA of the pertinent sensor signal.§§Industrial Application-The dissertation presents STSA§of bearing acceleration derived from a dynamic§simulation model for detection and estimation of§parametric changes in flexible disc/diaphragm§couplings due to angular misalignment between shafts.

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Anomaly detection in Electromechanical systems using Symbolic Dynamics

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