Decomposition of Toluene with a Combined Plasma Photolysis (CPP) Reactor: Influence of UV Irradiation and Byproduct Analysis

Chen, Jiayao; Liu, Jianqi; Liu, Xin; Xu, Xiaoyi; Zhong, Fangchuan

doi:10.1007/s11090-020-10099-7

Cited by 107 publications

(101 citation statements)

References 42 publications

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“…The end face diameter of the bearing inner ring of this model is 39.78 mm, the width of the outer circumferential surface is 21.25 mm, and the alarm is given if there are black skin defects on the inner surface, side, and outer surface, or the size of collision defects is greater than 1 mm. Randomly select the bearing inner ring samples that have not been manually tested on site for testing [20].…”

Section: Results Analysismentioning

confidence: 99%

Application of Image Processing Sensor and Pattern Recognition in Detection of Bearing Surface Defects

Zhu

2022

Journal of Sensors

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In order to solve the problem that the traditional detection technology can not meet the requirements of online detection, a visual detection device for bearing inner ring defects based on image processing and pattern recognition is proposed in this paper. The device systematically designs an image acquisition device of bearing inner ring based on CCD. In the hardware scheme, the appropriate lens, camera, light source, and other related hardware are selected according to the actual needs, a complete image acquisition platform of bearing inner ring is built, and the software function design is completed. The simulation results show that the qualified rate of machine detection is 98.6%, the missed detection rate is 0, and the false detection rate is 1.4%, which are better than manual detection. Conclusion. The test results show that the bearing inner ring defect detection system can detect the surface defects of bearing inner ring quickly, stably, and reliably, and the detection efficiency and accuracy are higher than the original manual detection method, so it has a good application prospect.

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Section: Results Analysismentioning

confidence: 99%

Application of Image Processing Sensor and Pattern Recognition in Detection of Bearing Surface Defects

Zhu

2022

Journal of Sensors

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“…It has a better generalized performance. erefore, in the research, the KELM method is adopted to conduct fault classification modeling for wind turbine gearbox [14,15].…”

Section: Kelm Methods and Gmo-kelm Methodsmentioning

confidence: 99%

Fault Diagnosis of Wind Turbine Gearbox Based on Multisensor Data Fusion

Zhang

Zhou

2022

Journal of Control Science and Engineering

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In order to improve the operation efficiency of wind turbine gearbox and reduce the operation and maintenance cost of wind farm, a fault diagnosis system for wind turbine gearbox based on multisensor data fusion was proposed. First, the different time-domain statistical characteristic parameters of the original vibration signal were calculated, and the information fusion of the feature level and the data level was carried out by means of parallel superposition to obtain the fused data set. Second, a fault classification and recognition model based on GMO-KELM was established by using the fusion data set. Finally, the proposed method was used to monitor the status of the measured data of the gearbox on the vibration test bed of rotating machinery. The experimental results showed that the average training accuracy and the average test accuracy of GMO-KELM method were 100% and 95.58%, respectively, which were much higher than those of other methods. Through experiments and analyses, it was shown that the proposed method was effective and feasible. Compared with other similar methods, the proposed method had the best classification performance.

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“…From Table 3 , in the investigation of sports dance athletes, it is found that the main factors leading to athletes' injury are insufficient warm-up preparation; poor physical fitness; unscientific training methods; it is too difficult to select technical action; and poor condition before the game [ 21 ]. Sports dancers do not pay attention to warm-up activities, or insufficient warm-up activities are an important factor causing sports injuries.…”

Section: Research and Analysismentioning

confidence: 99%

Identification of Sports Athletes’ High-Strength Sports Injuries Based on NMR

Zhou

Chu

2022

Scanning

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In order to study the high-strength sports injury in sports, this paper proposes a method based on NMR to identify the high-strength sports injury of sports athletes. This method carries out a questionnaire survey and research on the athletes who are excellent in sports dance major from 2019 to 2021 in the Institute of Physical Education. The athletes’ age range is 18-25 years, and the training period of sports dance is 3-5 years. The results show that compared with other recognition methods, the recognition method based on NMR has higher accuracy and efficiency. The method of this study is helpful to improve the recognition efficiency and accuracy. Athletes are very easy to get injured during sports. In order to reduce the degree of injury of athletes, we should strictly follow the action standards in the training process to avoid serious injury.

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Decomposition of Toluene with a Combined Plasma Photolysis (CPP) Reactor: Influence of UV Irradiation and Byproduct Analysis

Cited by 107 publications

References 42 publications

Application of Image Processing Sensor and Pattern Recognition in Detection of Bearing Surface Defects

Application of Image Processing Sensor and Pattern Recognition in Detection of Bearing Surface Defects

Fault Diagnosis of Wind Turbine Gearbox Based on Multisensor Data Fusion

Identification of Sports Athletes’ High-Strength Sports Injuries Based on NMR

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