專利國別:美國United States Patent: 5,566,092Application number: 08/176,482國際分類號:G07C 3/00; G05B 19/418; G01B 007/00[[abstract]]The invention provides a machine fault diagnostic system to help ensure effective equipment maintenance. The major technique used for fault diagnostics is a fault diagnostic network (FDN) which is based on a modified ARTMAP neural network architecture. A hypothesis and test procedure based on fuzzy logic and physical bearing models is disclosed to operate with the FDN for detecting faults that cannot be recognized by the FDN and for analyzing complex machine conditions. The procedure described herein is able to provide accurate fault diagnosis for both one and multiple-fault conditions. Furthermore, a transputer-based par...
This study proposes a new condition diagnosis method for rotating machinery developed using least sq...
Fault detection and diagnosis is currently a very important problem in induction machine management....
AbstractAn intelligent method of diagnosing the technical condition of electrical equipment and mech...
Fault diagnosis of the modern complex devices is one of the most important tasks in many application...
Abstract:- This paper presents a method of fault diagnosis for a rolling bearing used in a reciproca...
Industries are always looking for more efficient maintenance systems to minimize machine downtime an...
Generally three methodologies to develop and test fault detection (FD) algorithms can be distingguis...
In high speed manufacturing systems, continuous operation is desirable, with minimal disruption for ...
ABSTRACT In this paper, the application of Neural Networks and Fuzzy Logic to the diagnosis of Fault...
Monitoring and predicting machine components ' faults play an important role in maintenance act...
This paper describes a method on machine fault diagnosis system using neural networks. As fault diag...
An improvement of induction machine rotor fault diagnosis based on a neural network approach is pres...
When a machine tool is used for a long time, its bearing experiences wear and failure due to heat an...
The thesis proposes a quite novel and easily generalized fault detection and diagnosis (FDD) scheme ...
Fault detection and diagnosis is currently a very important problem in induction machine management....
This study proposes a new condition diagnosis method for rotating machinery developed using least sq...
Fault detection and diagnosis is currently a very important problem in induction machine management....
AbstractAn intelligent method of diagnosing the technical condition of electrical equipment and mech...
Fault diagnosis of the modern complex devices is one of the most important tasks in many application...
Abstract:- This paper presents a method of fault diagnosis for a rolling bearing used in a reciproca...
Industries are always looking for more efficient maintenance systems to minimize machine downtime an...
Generally three methodologies to develop and test fault detection (FD) algorithms can be distingguis...
In high speed manufacturing systems, continuous operation is desirable, with minimal disruption for ...
ABSTRACT In this paper, the application of Neural Networks and Fuzzy Logic to the diagnosis of Fault...
Monitoring and predicting machine components ' faults play an important role in maintenance act...
This paper describes a method on machine fault diagnosis system using neural networks. As fault diag...
An improvement of induction machine rotor fault diagnosis based on a neural network approach is pres...
When a machine tool is used for a long time, its bearing experiences wear and failure due to heat an...
The thesis proposes a quite novel and easily generalized fault detection and diagnosis (FDD) scheme ...
Fault detection and diagnosis is currently a very important problem in induction machine management....
This study proposes a new condition diagnosis method for rotating machinery developed using least sq...
Fault detection and diagnosis is currently a very important problem in induction machine management....
AbstractAn intelligent method of diagnosing the technical condition of electrical equipment and mech...