Motor fault detection and diagnosis involves processing a large amount of information of the motor system. With the combined synergy of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault detection/diagnosis process and successful fault detection/diagnosis schemes can be achieved. This paper presents two neural fuzzy (NN/FZ) inference systems, na...

The problem of fault detection and isolation of parametric faults is considered in this paper. A fault detection problem based on parametric faults are associated with internal parameter variations in the dynamical system. A fault detection and isolation method for parametric faults is formulated in a standard setup and a synthesis method for the fault detector is given. Further, fault detectio...

This paper considers robust fault detection for nonlinear systems with full state information. We propose and solve a multi-objective fault detection criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while decoupling/or minimizing the largest singular value of the transformation from disturbance to the fault detection residuals.

Numerous studies suggest that dysfunctional basal ganglia-thalamo-cortical circuits are involved in both movement disorders and psychiatric impairments. The current exploratory investigation explored possible psychological differences, firstly between 24 healthy musicians (HM) and 24 musicians diagnosed with focal dystonia (FDM) (Study I), and secondly among 35 FDM patients only (Study II). Res...

this paper presents a method for diagnosis of eccentricity fault in a switched-reluctance motor (srm) during offline and standstill modes. in this method, the fault signature is differential induced voltage (div) achieved by injecting diagnostic pulses to the motor windings. it will be demonstrated by means of results that there is a correlation between differential induced voltage and eccentri...

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

This paper presents a fully printable sensorized bending actuator that can be calibrated to provide reliable bending feedback and simple contact detection. A soft bending actuator following a pleated morphology, as well as a flexible resistive strain sensor, were directly 3D printed using easily accessible FDM printer hardware with a dualextrusion tool head. The flexible sensor was directly wel...

This paper details the development of an innovative "green" hybrid rocket propulsion system, applicable to small spacecraft. When fully developed this propulsion technology has the potential to act as a "drop in" replacement for propulsion system utilizing hazardous propellants such as hydrazine. Fuel grains are manufactured using a form of additive manufacturing known as Fused Deposition Model...