Incipient Fault Diagnosis of Dynamical Systems UsingOn - Line
نویسندگان
چکیده
| Detection of incipient (slowly developing) faults is crucial in automated maintenance problems where early detection of worn equipment is required. In this note, a general framework for model-based fault detection and diagnosis of a class of incipient faults is developed. The changes in the system dynamics due to the fault are modeled as nonlinear functions of the state and input variables, while the time proole of the failure is assumed to be exponentially developing. An automated fault diagnosis architecture using nonlinear on-line approximators with an adaptation scheme is designed and analyzed. A simulation example of a simple nonlinear mass-spring system is used to illustrate the results.
منابع مشابه
Incipient Fault Diagnosis of Dynamical Systems Using Online Approximators
Detection of incipient (slowly developing) faults is crucial in automated maintenance problems where early detection of worn equipment is required. In this paper, a general framework for model-based fault detection and diagnosis of a class of incipient faults is developed. The changes in the system dynamics due to the fault are modeled as nonlinear functions of the state and input variables, wh...
متن کاملA Bayesian Approach to Efficient Diagnosis of Incipient Faults
Safe, reliable, and efficient operation of complex dynamical systems requires the ability to detect, isolate, and identify degradation in system components. Degradations are typically modeled as incipient faults, which are slow drifts in system parameters over time. This paper presents an efficient approach for the detection, isolation, and identification of incipient faults under uncertainty u...
متن کاملDetection of Single and Dual Incipient Process Faults Using an Improved Artificial Neural Network
Changes in the physicochemical conditions of process unit, even under control, may lead to what are generically referred to as faults. The cognition of causes is very important, because the system can be diagnosed and fault tolerated. In this article, we discuss and propose an artificial neural network that can detect the incipient and gradual faults either individually or mutually. The mai...
متن کاملComprehensive Diagnosis of Continuous Systems Using Dynamic Bayes Nets
Fault diagnosis is essential for guaranteeing safe and reliable operation of complex engineering systems. Our work focuses on diagnosis of parametric faults in the components of dynamic systems, whose temporal profile can be categorized as incipient (slow) or abrupt (fast). The diagnosis of abrupt and incipient faults using qualitative approaches is challenging, since in many situations, these ...
متن کامل8] T. Poggio and F. Girosi. Regularization Algorithms for Learning That Are Equivalent to Multilayer
Incipient fault diagnosis of chemical processes via artiicial neural networks. 23 investigate the eeect of modeling uncertainties on the performance of the FDA system. of faults in a multi-loop launch vehicle guidance and control system. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy | a survey and some new results.
متن کامل