Zhinong Jiang

Orcid: 0000-0003-3844-5905

Affiliations:
  • Beijing University of Chemical Technology, China


According to our database1, Zhinong Jiang authored at least 18 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Fault identification model of diesel engine based on mixed attention: Single-cylinder fault data driven whole-cylinder diagnosis.
Expert Syst. Appl., 2024

Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis.
Eng. Appl. Artif. Intell., 2024

Modeling, Simulation, and Design of Electromagnetic Capacity Control System for Reciprocating Compressors.
IEEE Access, 2024

2023
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions.
Eng. Appl. Artif. Intell., November, 2023

2022
Decoupling Identification Method of Continuous Working Conditions of Diesel Engines Based on a Graph Self-Attention Network.
IEEE Access, 2022

2021
Erratum to "Local Maximum Synchrosqueezing Chirplet Transform: An Effective Tool for Strongly Nonstationary Signals of Gas Turbine".
IEEE Trans. Instrum. Meas., 2021

Local Maximum Synchrosqueezing Chirplet Transform: An Effective Tool for Strongly Nonstationary Signals of Gas Turbine.
IEEE Trans. Instrum. Meas., 2021

Bearing Condition Evaluation Based on the Shock Pulse Method and Principal Resonance Analysis.
IEEE Trans. Instrum. Meas., 2021

Multi-Type Diesel Engines Operating Condition Recognition Method Based on Stacked Auto-Encoder and Feature Transfer Learning.
IEEE Access, 2021

2020
A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine.
Sensors, 2020

Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions.
Sensors, 2020

An Intelligent Fault Diagnosis Scheme Using Transferred Samples for Intershaft Bearings Under Variable Working Conditions.
IEEE Access, 2020

2019
A New Fault Diagnosis Method for a Diesel Engine Based on an Optimized Vibration Mel Frequency under Multiple Operation Conditions.
Sensors, 2019

Multi-Factor Operating Condition Recognition Using 1D Convolutional Long Short-Term Network.
Sensors, 2019

2018
A method for maintenance decision based on condition monitoring.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Lithium-ion battery state of charge estimation based on dynamic neural network and Kalman filter.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Fault Diagnosis of Internal Combustion Engine Valve Clearance Using the Impact Commencement Detection Method.
Sensors, 2017

2011
A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis.
Expert Syst. Appl., 2011


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