Posts Tagged ‘fault diagnosis’:

Design of DSP Rolling Bearing Condition Monitoring and Fault Diagnosis System

Rolling bearings are widely used in rotating machines as general mechanical components. The rolling bearing running status directly affects the entire machine’s performance. And the rolling bearing’s real-time condition monitoring and fault diagnosis is an important approach to guarantee the operating safety for some key equipment.In this thesis, a rolling bearing condition monitoring and fault

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Development of Fault Simulation and Diagnosis Platform for Analog Circuit

With the increasing improvement on functions of missiles, satellites and other large systems, requirements of reliability for the systems are also increasing. Electronic equipments are the core control units of large systems, so requirements of reliability for them are strict. Analog circuits take a small proportion of electronic circuits, but they are easier to go

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Research on Fractal Analysis for Bearing Fault Status Classification

Fault feature extraction and representation is the most crucial problem for the reliability and accuracy in the bearing condition monitoring and fault diagnosis. In this paper we select the fractal dimension as the characteristic parameter, because it can reflect signal complexity. We calculate the fractal signal separately from the signal of time domain and frequency

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Design of DSP Rolling Bearing Condition Monitoring and Fault Diagnosis System

Rolling bearings are widely used in rotating machines as general mechanical components. The rolling bearing running status directly affects the entire machine’s performance. And the rolling bearing’s real-time condition monitoring and fault diagnosis is an important approach to guarantee the operating safety for some key equipment.In this thesis, a rolling bearing condition monitoring and fault

(Read More…)

Diagnosis of Rolling Bearings Based on Feature Parameters of Alpha Stable Distribution

Rolling bearings, as one of the most commonly used parts of machinery, whose running status is a key factor to decide whether a machine is well-performing, so the importance of performance monitoring and fault diagnosis of rolling bearings is self–evident. When there is pitting in rolling bearings, or other failures, it’s very clear that there

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Application of Improved BP Algorithm and Fuzzy Logic in the Two-Axis Turntable Fault Diagnosis

Turntable is a test and simulation equipment of inertial navigation system, which is a complex set of mechanical and electrical and plays a huge role in the aerospace, aviation and marine areas. Therefore it is very necessary to carry out the research on fault diagnosis technology to make the turntable work stably and reliably for

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The Research of Fault Detection and Diagnosis Based on Neural Network Observer

Nowadays, the modern control systems are becoming larger and more complicated, so the possibility of fault arising in system is completely increasing. In order to improve the security and reliability of the system, detect the breakdowns in real time, analysis the cause and the features of it, so as to prevent the trouble occurred. This

(Read More…)

Fault Detection Based on Observer for Nonlinear Systems

In this paper, a linear matrix inequality (LMI) approach to observer designbased on fault detection (FD) for a class of uncertain nonlinear systems is given.Here, the systems nonlinear part comprises a Lipschitz nonlinear function withrespect to the state and input, and a state-dependent unknown function includingadditive nonlinear disturbance as well as uncertain/nonlinear/time-varying terms.A trade-off FD

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The Research of Fault Detection and Diagnosis Based on Neural Network Observer

Nowadays, the modern control systems are becoming larger and more complicated, so the possibility of fault arising in system is completely increasing. In order to improve the security and reliability of the system, detect the breakdowns in real time, analysis the cause and the features of it, so as to prevent the trouble occurred. This

(Read More…)

Fault Detection Based on Observer for Nonlinear Systems

In this paper, a linear matrix inequality (LMI) approach to observer designbased on fault detection (FD) for a class of uncertain nonlinear systems is given.Here, the systems nonlinear part comprises a Lipschitz nonlinear function withrespect to the state and input, and a state-dependent unknown function includingadditive nonlinear disturbance as well as uncertain/nonlinear/time-varying terms.A trade-off FD

(Read More…)

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