Searched for: author%3A%22Cheng%2C+Gang%22
(1 - 9 of 9)
document
Cheng, Gang (author), Wu, S. (author), Shi, M. (author), Dong, W. (author), Zhu, H. (author), Alonso-Mora, J. (author)
Autonomous navigation of Micro Aerial Vehicles (MAVs) in dynamic and unknown environments is a complex and challenging task. Current works rely on assumptions to solve the problem. The MAV's pose is precisely known, the dynamic obstacles can be explicitly segmented from static ones, their number is known and fixed, or they can be modeled with...
journal article 2023
document
Chen, Shibiao (author), Cheng, Gang (author), Pang, Y. (author)
To overcome the bearing capacity deficiencies of traditional serial hip joint simulators, complex trajectory simulation, among others, as well as a parallel manipulator with two pairs of artificial hip joints and two moving platforms are proposed. The movements and driving forces of the parallel manipulator under the required motion and loading...
journal article 2022
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Guo, Feng (author), Cheng, Gang (author), Pang, Y. (author)
Aiming at a 5-DOF hybrid optical mirror polishing robot, the explicit dynamic model considering the joint friction is established and the inertia coupling distribution is studied. Firstly, the kinematics of the manipulator is solved based on closed-loop vector method, and the dynamic model is established with Newton-Euler method based on the...
journal article 2022
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Chen, Yiming (author), Sun, Xu (author), Xu, Liang (author), Ma, Sencai (author), Li, Jun (author), Pang, Y. (author), Cheng, Gang (author)
The most common failures of belt conveyors are runout, coal piles and longitudinal tears. The detection methods for longitudinal tearing are currently not particularly effective. A key study area for minimizing longitudinal belt tears with the advancement of machine learning is how to use machine vision technology to detect foreign items on...
journal article 2022
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Jin, Zujin (author), Cheng, Gang (author), Pang, Y. (author), Xu, Shichang (author), Yuan, Dunpeng (author)
During the processing of an optical mirror, the performance parameters of the bottom support system would affect the surface forming accuracy of the mirror. The traditional bottom support system has a large unadjustable support stiffness, which increases the difficulty of unloading the impact force generated by the grinding disc. In response to...
journal article 2021
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Xu, Shichang (author), Cheng, Gang (author), Pang, Y. (author), Jin, Zujin (author), Kang, Bin (author)
Real-time and accurate longitudinal rip detection of a conveyor belt is crucial for the safety and efficiency of an industrial haulage system. However, the existing longitudinal detection methods possess drawbacks, often resulting in false alarms caused by tiny scratches on the belt surface. A method of identifying the longitudinal rip through...
journal article 2021
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Li, Yong (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)
As the supporting unit of rotating machinery, bearing can ensure efficient operation of the equipment. Therefore, it is very important to monitor the status of bearings accurately. A bearing fault diagnosis mothed based on Multipoint Optimal Minimum Local Mean Entropy Deconvolution Adjusted (MOMLMEDA) and Long Short-Term Memory (LSTM) is...
journal article 2019
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Liu, C. (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)
Given local weak feature information, a novel feature extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value decomposition (SVD), and convolutional neural network (CNN) is proposed. VMD was used to decompose the original vibration signal to mode components. The mode matrix was...
journal article 2018
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Kuai, Moshen (author), Cheng, Gang (author), Pang, Y. (author), Li, Yong (author)
For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear. A method is proposed for diagnosing faults in planetary gear based on permutation entropy of Complete...
journal article 2018
Searched for: author%3A%22Cheng%2C+Gang%22
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