Digital Object Identifier : 10.1109/ACC.1997.609660We study the applications of neural nets in the area of fault detection in real vibrational data. The study is one of the first to include a large set of real vibrational data and to illustrate the potential as well as the limitations of neural networks for fault detection.IEE
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
We study the applications of neural nets in the area of fault detection in real vibrational data. Th...
In this article, an implementation of structural health monitoring process automation based on vibra...
In this article, an implementation of structural health monitoring process automation based on vibra...
Bearings are essential components in the most electrical equipment. Procedures for monitoring the co...
This work studies the capability of generalization of Neural Network using vibration based measureme...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
We study the applications of neural nets in the area of fault detection in real vibrational data. Th...
In this article, an implementation of structural health monitoring process automation based on vibra...
In this article, an implementation of structural health monitoring process automation based on vibra...
Bearings are essential components in the most electrical equipment. Procedures for monitoring the co...
This work studies the capability of generalization of Neural Network using vibration based measureme...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
Periodic vibration signals captured by the accelerometers carry rich information for bearing fault d...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
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