In the process of mechanical fault diagnosis and prediction, it is generally necessary to transfer the collected data to the cloud server by means of the IoT.
This study focuses on the predictions pertinent to the sustainability of battery life in IoT frameworks in the marine environment and proposes a DNN model ...
In this paper, the multi-source sensing data fusion models and fusion algorithms are studied and discussed. First, the Joint Directors of Laboratories (JDL) ...
Dec 15, 2022 · The fault diagnosis system is composed of fault detection to evaluate whether the fault occurs and fault recognition to locate the faults, which ...
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A multi-scale-sensor information fusion method is proposed, overcoming the shortcomings of fault diagnosis methods based on the analysis of one signal, in terms ...
The fusion model is not uniform: In the field of mechanical fault diagnosis and prediction, there is no unified framework for dealing with the various ...
Sep 3, 2019 · Using multi-source sensing data based on the Internet of Things (IoT) with artificial intelligence and big data processing technology to ...
Abstract. Machine fault diagnosis is crucial in industrial systems to enhance reliability, lifetime, and service availability. Intelligent fault diagnosis ...
In this review, the primary objective is to classify existing literature and to report the latest research and directions to help researchers and professionals ...
Consolidate IoT data & metadata with Imply for global visbility and anomaly detection. Analyze sensor data for fast decisions...