Add to ORKGThe use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is able to predict the series of future equipment condition. The structure of prognostic application is presented. The feasibility of this prediction application was demonstrated by applying real condition monitoring data of industrial equipment
International audienceThe reliability and safety operation of an industrial system are the main obje...
Predictive maintenance has made considerable progress within the framework of Industry 4.0, making t...
This paper presents an approach to predict the operating conditions of machine based on classificati...
The use of prognostics is critically to be implemented in industrial. This paper presents an appli...
This paper presents a new prognostics model based on neural network technique for supporting industr...
Condition-based maintenance strategy is considered popular and received high demand in industry to e...
This paper presents a new prognostics model based on neural network technique for supporting indust...
International audienceNon-numerical data, such as images and inspection records, contain information...
Prognostic have progressed over in the last few years as a specific function. It provides remaining ...
Celem pracy było opracowanie metodyki prognozowania szeregów czasowych przy użyciu sztucznych sieci ...
This paper addresses the problem of predicting machine failures in an industrial manufacturing proce...
Predictive maintenance is very important in industrial plants to support decisions aiming to maximiz...
In recent years, current maintenance strategies have extensively evolved in condition-based maintena...
International audienceThe reliability and safety operation of an industrial system are the main obje...
Predictive maintenance has made considerable progress within the framework of Industry 4.0, making t...
This paper presents an approach to predict the operating conditions of machine based on classificati...
The use of prognostics is critically to be implemented in industrial. This paper presents an appli...
This paper presents a new prognostics model based on neural network technique for supporting industr...
Condition-based maintenance strategy is considered popular and received high demand in industry to e...
This paper presents a new prognostics model based on neural network technique for supporting indust...
International audienceNon-numerical data, such as images and inspection records, contain information...
Prognostic have progressed over in the last few years as a specific function. It provides remaining ...
Celem pracy było opracowanie metodyki prognozowania szeregów czasowych przy użyciu sztucznych sieci ...
This paper addresses the problem of predicting machine failures in an industrial manufacturing proce...
Predictive maintenance is very important in industrial plants to support decisions aiming to maximiz...
In recent years, current maintenance strategies have extensively evolved in condition-based maintena...
International audienceThe reliability and safety operation of an industrial system are the main obje...
Predictive maintenance has made considerable progress within the framework of Industry 4.0, making t...
This paper presents an approach to predict the operating conditions of machine based on classificati...