The three notorious earthquakes of 1999 in Turkey Kocaeli and Düzce and Taiwan Chi-Chi , having offered numerous examples of surface fault rupturing underneath civil engineering structures, prompted increased interest in the subject. This paper develops a nonlinear finite-element methodology to study dip–slip “normal” and “reverse” fault rupture propagation through sand. The procedure is verifi...

Late Quaternary slip rates and satellite-based geodetic data for the western Great Basin constrain regional fault-slip distribution and evolution. The geologic slip rate on the Fish Lake Valley fault zone (the northwest extension of the Furnace Creek fault zone) increases northward from about 3 to 5 mm/yr, in agreement with modeled geodetic data. The increase coincides with the intersections of...

Pramod Vachhani, Sridharakumar Narasimhan, and Raghunathan Rengaswamy Process fault diagnosis is the problem of identifying the causal origins of faults in a process, given current sensor data and a priori knowledge about the process behaviour under normal and abnormal conditions. Fault diagnosis is increasingly becoming important for process safety, improved product quality and process economi...

The paper focuses on the application of neural network techniques in fault detection and diagnosis. The objective of this paper is to detect and diagnose the faults to a continuous stirred tank reactor (CSTR). Fault detection is performed by using the error signals, where when error signal is zero or nearly zero, the system is in normal condition, and when the fault occurs, error signals should...

Stick-slip frictional instability is widely regarded as a viable mechanism for crustal earthquakes, particularly because of the way that it can be incorporated into the notion of earthquakes as episodic unstable slip events along preexisting zones or planes of weakness represented by faults in the Earth. In this thesis, detailed laboratory observations of stick-slip events generated on a simula...

—The increasing number of Electro within the network of a vehicle is increa complexity of these networks. Thus, fault sophisticated systems becomes more complex paper is to provide a technique to enable detection in a premium vehicle network or a which uses the Controller Area Network (C communication. The fault detection technique based on a sequential behaviour of the CAN n and by using signa...

Self aligning spherical journal bearing is a type of plain bearings which has spherical surface contact. This type of bearing can accommodate a misalignment problem. The journal bearing faults degrade machine performance, decrease life time service and unexpected failure which are dangerous for safety issues. Surface vibration (SV), airborne sound (AS) and acoustic emission (AE) measurements ar...

Based on artificial neural networks, a fault diagnosis approach for the hydraulic system was proposed in this paper. Normal state samples were used as the training data to develop a dynamic general regression neural network (DGRNN) model. The trained DGRNN model then served as the fault determinant to diagnose test faults and the work condition of the hydraulic system was identified. Several ty...

This paper presents an assessment of motor current signature analysis for fault diagnosis of an induction motor. Single phasing fault has been considered and stator current harmonics are analyzed by assessing peaks and symmetry in harmonic spectrums both at normal condition and at fault condition. ‘db4’ is used for current signature analysis wavelet decomposition. A comparative observation is m...

We investigate the spatial pattern of surface creep and off-fault deformation along the southern segment of the San Andreas Fault using a combination of multiple interferometric synthetic aperture radar viewing geometries and survey-mode GPS occupations of a dense array crossing the fault. Radar observations from Envisat during the period 2003–2010 were used to separate the pattern of horizonta...