this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...

an_eul is a new automatic method for simultaneous approximation of location, depth, and structural index (geometry) of magnetic sources. in the 2d case analytic signal is defined as a conjugate function whose imaginary part is the hilbert transform of its real part. since the first vertical derivative of the magnetic field is the hilbert transform of its horizontal derivative, vertical and hori...

the different similarity transformation (dst) technique (stavrev, 1997) utilizes a powerful and fully automatic tool for depth estimation of a point source through euler de-convolution. stavrev (1997) showed the results for the magnetic data of simple 2-d sources and aeromagnetic data along profiles. we apply the technique for the gravity data of 2-d rectangular models and real gravity data whi...

the aim of this study is 3-d inversion of magnetic data acquired from the sorkheh-dizej iron-bearing region in zanjan province, iran, in order to determine the geometrical distribution of the buried magnetic sources. for this purpose, our program discretizes the subsurface region into vertical right rectangular prisms and uses the nonlinear marquardt-levenberg algorithm to optimize the unknown ...