Adirak Kanchanaharuthai. Fault detection and diagnosis of automotive suspension systems. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2011.
Fault detection and diagnosis of automotive suspension systems
Abstract:
An automobile consists of complex electrical systems, mechanical systems and control parts, all of them interacting among the steering, brake, suspension systems, and so on. Also, the objectives of an automobile control are to achieve the high driving performance, comfort, and safety and to satisfy common requirements. However, the suspension systems are often faced safety-critical situations due to their passive characters. Hence, the aims of this paper are to investigate the fault detection and diagnosis process of automotive suspension systems, especially the full-car model, via a filter bank approach and to detect the occurrence of any change, for instance, to keep maintaining the reliability and safety of automotive components. For our investigation, the Kalman filter, one of the most effective filters, was designed to track the automotive suspension system. Additionally, in order to evaluate the performance of the fault detection and diagnosis, the process is validated through our simulation to illustrate that the fault detection and diagnosis process capable of detecting effectively any faults in actuators
King Mongkut's University of Technology North Bangkok. Central Library