Fault Diagnosis of Beam-Like Structure Using Modified Fuzzy Technique
نویسندگان
چکیده
منابع مشابه
Fault Diagnosis Using Neuro-fuzzy Systems with Local Recurrent Structure
This paper investigates the development of the Adaptive Neuro-Fuzzy Systems with Local Recurrent Structure (ANFS-LRS) and their application to Fault Detection and Isolation (FDI). Hybrid learning, based on a fuzzy clustering algorithm and a gradientlike method, is used to train the ANFS-LRS. The experimental case study refers to an application of fault diagnosis of an electro-pneumatic actuator...
متن کاملFault Diagnosis and Fault-Tolerant SVPWM Technique of Six-phase Converter under Open-Switch Fault
In this paper, a new open-switch fault diagnosis method is proposed for the six-phase AC-DC converter based on the difference between the phase current and the corresponding reference using an adaptive threshold. The open-switch faults are detected without any additional equipment and complicated calculations, since the proposed fault detection method is integrated with the controller required ...
متن کاملDimensional Fault Diagnosis for Compliant Beam Structure Assemblies
A model-based diagnostic methodology is proposed for the dimensional fault diagnosis of compliant beam structures in automotive or aerospace assembly processes. In the diagnosis procedure, the product measurement data are used to detect and isolate dimensional faults caused by part fabrication error in compliant beam assemblies. The proposed method includes a predetermined fault patterns model ...
متن کاملFault Diagnosis Using Feature Vectors and Fuzzy Fault Pattern Rulebase
Feature Vectors. The required inputs for the diagnostic models are termed the feature vectors. The feature vectors contain information about the current fault status of the system. Feature vectors may contain many sorts of information about the system. This includes both system parameters relating to fault conditions (bulk modulus, leakage coefficient, temperatures, pressures) as well as vibrat...
متن کاملFault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System
This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons are used to represent operation information of protection devices including protective relays and circuit breakers; a reasoning algorithm associated with MFRSN P systems is int...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Acoustics and Vibration
سال: 2014
ISSN: 1687-6261,1687-627X
DOI: 10.1155/2014/491510