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Книга Anomaly detection in Electromechanical systems using Symbolic Dynamics Amol Khatkhate

Anomaly detection in Electromechanical systems using Symbolic Dynamics

Автор: Amol Khatkhate
Език: Английски език
Корици: С меки корици
Издател: VDM Verlag
Наличност: Външен склад
Изпращаме след 14-21 дни
59.80 € 116.95 лв
Major catastrophic failures in large scale§engineering systems (e.g., aircraft, power plants and§tur...

Информация за книгата

Автор
Amol Khatkhate
Език
Английски език
Корици
Книга - С меки корици
Издадена
2009
страници
156
EAN
9783639136760
ISBN
3639136764
Enbook ID
06822350
Издател
VDM Verlag
Теглоt
458
Размери
228 x 151 x 18

Пълно описание

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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