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ORCIDPeng Chang 0001
Person information
- affiliation (PhD 2015): Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, China
Other persons with the same name
- Peng Chang (aka: Chang Peng) — disambiguation page
- Peng Chang 0002 — PAII Inc., Palo Alto, CA, USA
- Peng Chang 0003
![[0000-0003-1439-8315]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1439-8315")
— Northeastern University, Institute for Experiential Robotics, Department of Electrical and Computer Engineering, Boston, USA - Peng Chang 0004 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
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2020 – today
- 2024
[j15]Chang Peng, Ying Xu, Shi ShanQi, Fang ZiYun:
Application of non-Gaussian feature enhancement extraction in gated recurrent neural network for fault detection in batch production processes. Expert Syst. Appl. 237(Part A): 121348 (2024)- [j14]Peng Chang, Shirao Zhang, Zichen Wang:
Soft Sensor of the Key Effluent Index in the Municipal Wastewater Treatment Process Based on Transformer. IEEE Trans. Ind. Informatics 20(3): 4021-4028 (2024) - [j13]Peng Chang, Ying Xu, Fanchao Meng, Weili Xiong:
Fault Detection in Wastewater Treatment Process Using Broad Slow Feature Neural Network With Incremental Learning Ability. IEEE Trans. Ind. Informatics 20(3): 4540-4549 (2024) - [j12]Peng Chang, Xu Ying, Hu ZhiQi:
Industrial Process Monitoring Based on Dynamic Overcomplete Broad Learning Network. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1761-1772 (2024) - 2023
- [j11]Peng Chang, Xun Bao, Fanchao Meng, Ruiwei Lu:
Multi-objective Pigeon-inspired Optimized feature enhancement soft-sensing model of Wastewater Treatment Process. Expert Syst. Appl. 215: 119193 (2023) - [j10]Peng Chang, Ying Xu, Fanchao Meng:
Efficient fault monitoring in wastewater treatment processes with time stacked broad learning network. Expert Syst. Appl. 233: 120958 (2023) - 2022
- [j9]Peng Chang, LuLu Zhao, Fanchao Meng, Ying Xu:
Soft measurement of effluent index in sewage treatment process based on overcomplete broad learning system. Appl. Soft Comput. 115: 108235 (2022) - [j8]Chang Peng, Ding ChunHao:
Monitoring multi-domain batch process state based on fuzzy broad learning system. Expert Syst. Appl. 187: 115851 (2022) - [j7]Chang Peng, Ruiyang Zhang, Ding ChunHao:
Dynamic hidden variable fuzzy broad neural network based batch process anomaly detection with incremental learning capabilities. Expert Syst. Appl. 202: 117390 (2022) - [j6]Chang Peng, Wang Kai, Kun Zheng, Fanchao Meng:
Monitoring of wastewater treatment process based on multi-stage variational autoencoder. Expert Syst. Appl. 207: 117919 (2022) - 2021
- [j5]Peng Chang, Zeyu Li:
Over-complete deep recurrent neutral network based on wastewater treatment process soft sensor application. Appl. Soft Comput. 105: 107227 (2021) - [j4]Peng Chang, Ruiwei Lu:
Process monitoring of batch process based on overcomplete broad learning network. Eng. Appl. Artif. Intell. 99: 104139 (2021) - [j3]Chang Peng, Zeyu Li, Gongming Wang, Wang Pu:
An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process. Expert Syst. Appl. 167: 114141 (2021) - 2020
- [j2]Chang Peng, Ruiwei Lu, Olivia Kang, Wang Kai:
Batch process fault detection for multi-stage broad learning system. Neural Networks 129: 298-312 (2020)
2010 – 2019
- 2019
- [j1]Chang Peng, Junfei Qiao, Xiangyu Zhang, Ruiwei Lu:
Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity. IEEE Access 7: 125676-125687 (2019)
Coauthor Index
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