An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method

Transformer Fault Diagnosis Based on Information Fusion Technology

Transformer faults have many types and fault information is uncertain, in response to these problems, this paper presents evidence theory and neural network integrated fault diagnosis. In order to realize the reasonable assignment of reliability by Dempster combination rule after the information fusion between strong conflict evidence, the concept of a trust coefficient is introduced to correct...

Bearing Fault Diagnosis Based on Vibration Signals

The vibration signal obtained from operating machines contains information relating to machine condition as well as noise. Further processing of the signal is necessary to elicit information particularly relevant to bearing faults. Many techniques have been employed to process the vibration signals in bearing faults detection and diagnosis. Two common techniques, time domain techniques and freq...

Information Based Fault Diagnosis

Fault detection and isolation, (FDI) of parametric faults in dynamic systems will be considered in this paper. An active fault diagnosis (AFD) approach is applied. The fault diagnosis will be investigated with respect to different information levels from the external inputs to the systems. These inputs are disturbance inputs, reference inputs and auxiliary inputs. The diagnosis of the system is...

Fault Diagnosis of Power Transformer Based on Gas Characteristic Analysis

Power transformers are one of the most critical devices in power systems. It is responsible for voltage conversion, power distribution and transmission, and provides power services. Therefore, the normal operation of the transformer is an important guarantee for the safe, reliable, high quality and economical operation of the power system. It is necessary to minimize and reduce the occurrence o...

Bearing Fault Diagnosis Using Information Fusion and Intelligent Algorithms