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Více informací o knize Anomaly detection in Electromechanical systems using Symbolic Dynamics

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Technology: general issues Engineering: general

• Plný název: Anomaly detection in Electromechanical systems using Symbolic Dynamics
• Autor: Amol Khatkhate
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 156
• EAN: 9783639136760
• ISBN: 3639136764
• ID: 06822350
• Nakladatelství: VDM Verlag
• Hmotnost: 458 g
• Rozměry: 151 × 228 × 18 mm
• Datum vydání: 17. April 2009

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