Peng Chang

According to our database, Peng Chang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Soft Sensor of the Key Effluent Index in the Municipal Wastewater Treatment Process Based on Transformer.

Peng Chang, Shirao Zhang, Zichen Wang

IEEE Trans. Ind. Informatics, March, 2024

Fault Detection in Wastewater Treatment Process Using Broad Slow Feature Neural Network With Incremental Learning Ability.

Peng Chang, Ying Xu, Fanchao Meng, Weili Xiong

IEEE Trans. Ind. Informatics, March, 2024

Application of non-Gaussian feature enhancement extraction in gated recurrent neural network for fault detection in batch production processes.

Chang Peng, Ying Xu, Shi ShanQi, Fang ZiYun

Expert Syst. Appl., March, 2024

Industrial Process Monitoring Based on Dynamic Overcomplete Broad Learning Network.

Peng Chang, Xu Ying, Hu ZhiQi

IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023

Efficient fault monitoring in wastewater treatment processes with time stacked broad learning network.

Peng Chang, Ying Xu, Fanchao Meng

Expert Syst. Appl., December, 2023

Multi-objective Pigeon-inspired Optimized feature enhancement soft-sensing model of Wastewater Treatment Process.

Peng Chang, Xun Bao, Fanchao Meng, Ruiwei Lu

Expert Syst. Appl., April, 2023

2022

Dynamic hidden variable fuzzy broad neural network based batch process anomaly detection with incremental learning capabilities.

Chang Peng, Ruiyang Zhang, Ding ChunHao

Expert Syst. Appl., 2022

Monitoring of wastewater treatment process based on multi-stage variational autoencoder.

Chang Peng, Wang Kai, Kun Zheng, Fanchao Meng

Expert Syst. Appl., 2022

Monitoring multi-domain batch process state based on fuzzy broad learning system.

Chang Peng, Ding ChunHao

Expert Syst. Appl., 2022

Soft measurement of effluent index in sewage treatment process based on overcomplete broad learning system.

Peng Chang, LuLu Zhao, Fanchao Meng, Ying Xu

Appl. Soft Comput., 2022

2021

An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process.

Chang Peng, Zeyu Li, Gongming Wang, Wang Pu

Expert Syst. Appl., 2021

Process monitoring of batch process based on overcomplete broad learning network.

Peng Chang, Ruiwei Lu

Eng. Appl. Artif. Intell., 2021

Over-complete deep recurrent neutral network based on wastewater treatment process soft sensor application.

Peng Chang, Zeyu Li

Appl. Soft Comput., 2021

2020

Batch process fault detection for multi-stage broad learning system.

Chang Peng, Ruiwei Lu, Olivia Kang, Wang Kai

Neural Networks, 2020

2019

Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity.

Chang Peng, Junfei Qiao, Xiangyu Zhang, Ruiwei Lu

IEEE Access, 2019