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The novel translational meshing motor (TMM) has inherent torque ripple because TMM torque is highly nonlinear relationship between rotor position and phase current. The torque ripple of TMM drive system can cause undesirable acoustic noise and vibration. In this paper, a novel controller scheme for TMM is presented. The controller is based on an adaptive neuro-fuzzy inference system (ANFIS) and combines...
Motor fault diagnosis methods are crucial in acquiring safe and reliable operation in motor drive systems. In this paper, a new method for the motor fault diagnosis is proposed based on wavelet packet transform (WPT) and artificial neural network (ANN). The energy of the vibration signals of motor can be obtained by the multi-decomposition of WPT and used as feature values of ANN inputs for fault...
Motor fault diagnosis methods are crucial in acquiring safe and reliable operation in motor drive systems. In this paper, we propose a hybrid algorithm for motor fault diagnosis based on the combination of artificial immune system (AIS) and artificial neural network (ANN). The artificial immune algorithm (AIA) for data clustering is employed to adaptively choose the amount and location of the hidden...
An adaptive neural network control of a novel type of translational meshing motor with model uncertainties is considered. Owing to its nonlinear characteristic, a model reference control system which consists of two neural networks is used. The torque model is identified based on BP neural network, and then a RBF neural network works as the controller. The model reference control system is trained...
Infrasound is ideally suited to provide essential information of these earthquakes without any invasive measures. This necessitates automatic processing of the data as the captured phenomena need to be sortedbefore further analysis can be undertaken. Extracting the physical characters of different signals by signal processing such as Fourier Transform and Wavelets Transform are generally employed...
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