Learning Shape for Jet Engine Novelty Detection
نویسندگان
چکیده
Application of a neural network approach to data exploration and the generation of a model of system normality is described for use in novelty detection of vibration characteristics of a modern jet engine. The analysis of the shape of engine vibration signatures is shown to improve upon existing methods of engine vibration testing, in which engine vibrations are conventionally compared with a fixed vibration threshold. A refinement of the concept of “novelty scoring” in this approach is also presented.
منابع مشابه
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra
A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how unusual the shape of a vibration signature is, by learning a representation of normality. We describe a novel method for Support Vector Machines of including information from a second class for novelty detection and g...
متن کاملApplication of an Intuitive Novelty Metric for Jet Engine Condition Monitoring
Application of novelty detection to a new class of jet engine is considered within this paper, providing a worked example of the steps necessary for constructing a model of normality. Abnormal jet engine vibration signatures are automatically identified with respect to a training set of normal examples. Pre-processing steps suitable for this area of application are investigated. An intuitive me...
متن کاملNovelty detection in jet engine vibration spectra
This paper presents a principled method for detecting “abnormal” content in vibration spectra obtained from rotating machinery. We illustrate the use of the method in detecting abnormality in jet engine vibration spectra corresponding to unforeseen engine events. We take a novelty detection approach, in which a model of normality is constructed from the typically large numbers of examples of “n...
متن کاملA Framework for Novelty Detection in Jet Engine Vibration Data
A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for onand off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-...
متن کاملNovelty Detection for On-Line Disruption Prediction Systems
One of the main factors limiting the implementation of neural networks in industrial applications is the difficulty of detecting potentially unreliable outputs. This could be the case of the neural disruption predictor installed in JET, where new plasma configurations might present features completely different from the ones observed in the experiments used in the training set. This 'novelty' c...
متن کامل