Fault diagnosis for rolling bearings has attracted increasing attention in recent years. However, few studies have focused on fault diagnosis for rolling bearings under variable conditions. This paper introduces a fault diagnosis method for rolling bearings under variable conditions based on visual cognition. The proposed method includes the following steps. First, the vibration signal data are...

This paper presents a model-based approach to online robotic fault diagnosis: First Priority Diagnostic Engine (FPDE). The first principle of FPDE is that a robot is assumed to work well as long as its key variables are within an acceptable range. FPDE consists of four modules: the bounds generator, interval filter, component-based fault reasoner (core of FPDE) and fault reaction. The bounds ge...

To precisely locate the grounded fault area in distribution network with DG, a new grounded fault area location algorithm based on three-phase impedance model and fault features in distribution network with DG is proposed in this paper. This method establishes three-phase impedance model if the distribution network with DG, analyzes and extracts the fault characteristics on the basis of the thr...

On power system operation status monitoring, operating performance analysis and assessment is to ensure the safe operation of its important components. This paper presents a new type of data mining based on the fault mode analysis and the fast diagnostic reasoning algorithm. Fault appearance to be collected and cleaned up in a fault information dimension table, the relationship rule dimension t...

The Shannon sampling principle requires substantial amounts of data to ensure the accuracy of on-line monitoring of roller bearing fault signals. Challenges are often encountered as a result of the cumbersome data monitoring, thus a novel method focused on compressed vibration signals for detecting roller bearing faults is developed in this study. Considering that harmonics often represent the ...

Electromagnetic forces in power transformer windings are produced by interaction between the leakage fluxes and current passing them. Since the leakage flux distribution along the windings height is in two axial and radial directions, so the electromagnetic forces have two components, radial and axial. There is a risk that a large electromagnetic force due to the short circuit or inrush current...

As a new general machine-learning tool based on structural risk minimization principle, Support Vector Machines (SVM) has the advantageous characteristic of good generalization. For this reason, the application of SVM in fault diagnosis field has becomes one growing reach focus. In this paper, data fusion strategy based on multi-class SVMs is proposed to diagnose the gear fault. The fault featu...

Robustness, through fault tolerance, is a property often put forward in order to advocate MAS. The question is: What is the first step to be fault tolerant? Obviously the answer is: to know faults. The claim of this paper is that existing fault classification suitable for distributed systems does not fit completely MAS needs because of autonomy, the main characteristic of their components. Actu...