Multi-pass Differential Photoacoustic Sensor for Real-Time Measurement of SF6 Decomposition Component H2S at the ppb Level

X Zhao, M Guo, D Cui, C Li, H Qi, K Chen… - Analytical …, 2023 - ACS Publications
We designed and implemented a photoacoustic (PA) sensor for H2S detection in SF6
background gas based on a multi-pass differential photoacoustic cell (MDPC) and a near …

Low-frequency resonant photoacoustic gas sensor by employing hollow core fiber-based O-shaped multipass cells

B Zhang, J Jiang, X Zhang, Y Jia, X Zhu… - Analytical …, 2023 - ACS Publications
A low-frequency flexible resonant photoacoustic (PA) gas sensor using an O-shaped
multipass cell is demonstrated. The PA sensor employed a flexible gradually tapered leaky …

A novel tool path smoothing algorithm of 6R manipulator considering pose-dependent dynamics by designing asymmetrical FIR filters

H Sun, J Yang, H Ding - Robotics and Computer-Integrated Manufacturing, 2024 - Elsevier
The joint dynamic constraints of robot manipulators are normally set to conservative constant
values to meet the dynamic tolerances at different poses, which leads to incomplete …

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

C Peng, X Ying, M FanChao - Expert Systems with Applications, 2023 - Elsevier
Process monitoring models play an increasingly indispensable role in promptly
differentiating faults within the wastewater treatment process to maintain a safe state. The …

Health status-based predictive maintenance decision-making via LSTM and Markov decision process

P Zheng, W Zhao, Y Lv, L Qian, Y Li - Mathematics, 2022 - mdpi.com
Maintenance decision-making is essential to achieve safe and reliable operation with high
performance for equipment. To avoid unexpected shutdown and increase machine life as …

Knowledge-wrapping method for prediction and evaluation of material removal behavior in robotic belt grinding

Z Yang, X Xu, J Li, D Zhu, S Yan, SS Ge… - Mechanical Systems and …, 2024 - Elsevier
Reliable prediction and evaluation of material removal (MR) is a continuing pursuit in the
grinding process. Mechanistic and empirical MR models always suffer from inaccuracies …

Automation of the edge deburring process and analysis of the impact of selected parameters on forces and moments induced during the process

K Falandys, K Kurc, A Burghardt, D Szybicki - Applied Sciences, 2023 - mdpi.com
The article concerns the possibility of the automation and robotization of the process of
deburring jet engine components. The paper presents the construction of a laboratory stand …

Multi-Objective Optimization of the Process Parameters of a Grinding Robot Using LSTM-MLP-NSGAII

R Li, Z Wang, J Yan - Machines, 2023 - mdpi.com
Grinding robots are widely used in the automotive, mechanical processing, aerospace
industries, among others, due to their strong adaptability, high safety and intelligence. The …

Incremental transfer learning for robot drilling state monitoring under multiple working conditions

J Shi, X Zhao, B Tao, Z Tang, T Ding, H Lu… - Journal of Intelligent …, 2024 - Springer
Robot drilling is widely used in industrial scenarios, and the quality of the hole affects the
quality of the finished product. Drilling for different workpieces under varying working …

Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System

W He, J Mao, Y Wang, Z Li, H Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article explores the corresponding relationship between the equipment fault and
grinding quality in a robotic grinding system (RGS), and establishes a unified and …