Zhiqiang Liao

发表

Bearing Fault Feature Enhancement and Diagnosis Based on Statistical Filtering and 1.5-Dimensional Symmetric Difference Analytic Energy Spectrum

Peng Chen, Baozhu Jia, Zhiqiang Liao, 2021, IEEE Sensors Journal.

A novel Fast Entrogram and its applications in rolling bearing fault diagnosis

Liuyang Song, Yonggang Xu, Kun Zhang, 2021 .

Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network

Peng Chen, Zhiqiang Liao, Xuewei Song, 2021, Measurement Science and Technology.

An Effective Singular Value Selection and Bearing Fault Signal Filtering Diagnosis Method Based on False Nearest Neighbors and Statistical Information Criteria

Peng Chen, Ke Li, Liuyang Song, 2018, Sensors.

An Automatic Filtering Method Based on an Improved Genetic Algorithm—With Application to Rolling Bearing Fault Signal Extraction

Peng Chen, Liuyang Song, Shilun Zuo, 2017, IEEE Sensors Journal.

Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving

Liping Yang, Ling Nie, Taifu Li, 2014, J. Appl. Math..

A Choquet integral-based hesitant fuzzy gained and lost dominance score method for multi-criteria group decision making considering the risk preferences of experts: Case study of higher business education evaluation

Ming Tang, Huchang Liao, Carlos Llopis-Albert, 2020, Inf. Fusion.

A Hesitant Fuzzy Linguistic Choquet Integral-Based MULTIMOORA Method for Multiple Criteria Decision Making and its Application in Talent Selection

Zeshui Xu, Huchang Liao, Edmundas Kazimieras Zavadskas, 2019, ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH.

A Robust Deep Learning Network for Low-Speed Machinery Fault Diagnosis Based on Multikernel and RPCA

Peng Chen, Haihong Tang, Zhiqiang Liao, 2022, IEEE/ASME Transactions on Mechatronics.

A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes

Peng Chen, Taifu Li, Shilun Zuo, 2018, Comput. Chem. Eng..

Bearing Fault Dominant Symptom Parameters Selection Based on Canonical Discriminant Analysis and False Nearest Neighbor Using GA Filtering Signal

Shilun Zuo, Zhiqiang Liao, Zhiqiang Liao, 2020, Mathematical Problems in Engineering.

Incrementally accumulated holographic SDP characteristic fusion method in ship propulsion shaft bearing fault diagnosis

Peng Chen, Zhiqiang Liao, Xuewei Song, 2021, Measurement Science and Technology.

A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition, Sample Entropy, and Deep Belief Network

Peng Chen, Ke Li, Zhiqiang Liao, 2019, Sensors.

Bearing Remaining Useful Life Prediction Using FNN-based Feature Principal Component and GRNN

Zhiqiang Liao, Defeng Kong, Baozhu Jia, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Machinery Fault Diagnosis Methods Based on Deep Learning

Liuyang Song, Ho Jinyama, Haihong Tang, 2021 .

Stepwise Intelligent Diagnosis Method for Rotor System with Sliding Bearing Based on Statistical Filter and Stacked Auto-Encoder

Peng Chen, Hai-hong Tang, Zhi-qiang Liao, 2020 .

Bearing Fault Diagnosis Based on State-space Principal Component Tracking Filter algorithm

Taifu Li, Peng Chen, Haihong Tang, 2021, IEEE Access.

Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis

Zhiqiang Liao, Xuewei Song, Defeng Kong, 2023, IEEE Access.

A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization

Peng Chen, Haihong Tang, Zhiqiang Liao, 2021, IEEE Transactions on Instrumentation and Measurement.

A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes

Chen Peng, Zuo Shilun, Li Taifu, 2018, Computers & Chemical Engineering.

Intelligent fault diagnosis for low-speed roller bearings based on stacked auto-encoder

Peng Chen, Tomita Masaru, Yusuke Kobayashi, 2019 .