Model based sensor fault detection for an active vehicle suspension

Author:

Fischer Daniel,Kaus Eberhard,Isermann Rolf

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. Non-linear Adaptive Control of Active Suspensions;Alleyne;IEEE Transactions on Control Systems Technology,1995

2. Parity space and statistical test for fault detection on nonlinear systems: A multy model approach;Arte;European control conference,1995

3. Identification and supervision of a thermal plant based on multi-layer perceptron networks with locally distributed dynamics;Ayoubi;34th Conference on Decision and Control,1995

4. Model based fault detection of vehicle suspension and hydraulic brake systems;Börner,2000

5. Automotive Handbook;Bosch,1996

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1. Deep transfer learning architecture for suspension system fault diagnosis using spectrogram image and CNN;Advances in Mechanical Engineering;2024-06

2. Diagnosing Faults in Suspension System Using Machine Learning and Feature Fusion Strategy;Arabian Journal for Science and Engineering;2024-03-30

3. Fault detection of automobile suspension system using decision tree algorithms: A machine learning approach;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-01-31

4. Advanced Vehicle Vertical Motion Control;Advanced Motion Control and Sensing for Intelligent Vehicles

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