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MCFPred: A Novel Multichannel Signal Adaptive Fusion Framework for Fault Diagnosis in Hydraulic Systems
Ruosong Jiang;Zhaohui Yuan;Honghui Wang;Zeming Fan;Yufan Zhang;Na Liang;Xiaojun Yu
Fault diagnosis plays a critical role in industrial equipment health monitoring, while effective multichannel sensor data processing is a key to efficient and accurate fault diagnosis. This article proposes a novel multichannel signal adaptive fusion framework, namely MCFPred, for fault diagnosis in hydraulic systems. Specifically, MCFPred adopts a data acquisition module to capture multidimension...Show More
Research on Fault Warning Algorithm for Coal Mills Based on CNN-LSTM-Attention
Yuzhi Huang;Haibin Liu;Jun Li;Lin Gao;Honghui Wang;Xiaolong Sheng;Peng Chang;Chengwen Wang;Jiachen Cai
2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)
Year: 2024 | Conference Paper |
As the frequent failure issues of coal mills in thermal power plants operating under harsh conditions become increasingly prominent, it is particularly important to effectively predict faults and assess the remaining useful life of coal mills. This paper proposes a fault warning method for coal mills based on CNN-LSTM-Attention. This method employs deep learning techniques and selects data related...Show More
A Static Task Allocation and Scheduling Algorithm for Kubernetes Cluster
2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE)
Year: 2024 | Conference Paper |
In this paper, a static task allocation and scheduling algorithm for Kubernetes (also known as K8s) clusters is proposed, which includes two parts: static task allocation and dynamic task scheduling. The static allocation algorithm firstly submits the tasks to the K8s and obtains a feasible task allocation scheme to form a task allocation blueprint, and secondly stores the task allocation blueprin...Show More
Intelligent Fault Diagnosis of Hydraulic Systems Based on Multisensor Fusion and Deep Learning
Ruosong Jiang;Zhaohui Yuan;Honghui Wang;Na Liang;Jian Kang;Zeming Fan;Xiaojun Yu
Hydraulic systems play a central role in the transmission and control of various industrial equipment, and the consequences of failures can be severe. The high pressure and closed nature of hydraulic systems, coupled with poor measurability of parameters, limit the applicability of many fault diagnosis methods. In order to achieve automatic fusion of multisensor data and accurate fault diagnosis, ...Show More
An Incremental Learning Algorithm Based on Spiking Neural Network and Memory Model
2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS)
Year: 2023 | Conference Paper |
Deep neural network has achieved good results in image classification, even surpassing humans. But training a neural network requires massive amounts of data and energy consumption. When add new tasks, catastrophic forgetting occurs and the neural network has to be trained from scratch. To solve this problem, this paper designs a memory model and proposes an incremental learning algorithm based on...Show More
A reconfigurable rack-scale interconnect architecture based on PCIe fabric
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Today cloud computation center has become an important component of modern information system. How to achieve the cloud computation center resource sharing and improve resource utilization is an important research topic. In order to improve the resource utilization, rack-scale host (also called converged infrastructure system) is usually used by cloud computation center. This paper proposes a reco...Show More
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