Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fault detection for hydraulic pump based on chaotic parallel RBF network | Lu et al. EURASIP Journal on Advances in Signal Processing 2011 2011 49 http content 2011 1 49 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Fault detection for hydraulic pump based on chaotic parallel RBF network Chen Lu1 2 Ning Ma2 3 and Zhipeng Wang1 2 Abstract In this article a parallel radial basis function network in conjunction with chaos theory CPRBF network is presented and applied to practical fault detection for hydraulic pump which is a critical component in aircraft. The CPRBF network consists of a number of radial basis function RBF subnets connected in parallel. The number of input nodes for each RBF subnet is determined by different embedding dimension based on chaotic phase-space reconstruction. The output of CPRBF is a weighted sum of all RBF subnets. It was first trained using the dataset from normal state without fault and then a residual error generator was designed to detect failures based on the trained CPRBF network. Then failure detection can be achieved by the analysis of the residual error. Finally two case studies are introduced to compare the proposed CPRBF network with traditional RBF networks in terms of prediction and detection accuracy. Keywords Fault detection Chaotic parallel radial basis function CPRBF Hydraulic pump Residual error generator Time series prediction Introduction Fault detection is becoming important because of the complexity of modern industrial systems and growing demands on quality cost efficiency reliability and safety. Early fault detection is an essential prerequisite for further development of automatic supervision. The interest on fault detection techniques would be increasing correspondingly. Hydraulic pump is the power source of a hydraulic system in aircraft. Its performance has a direct impact on the stability of the hydraulic system and even on the entire system. It has been proved based on statistical data that hydraulic pump has
