{"title":"A weighted nonconvex sparse representation with high-pass filter function for fault diagnosis of rolling bearing","authors":"Yuanhang Sun, Jianbo Yu","doi":"10.1145/3577148.3577161","DOIUrl":"https://doi.org/10.1145/3577148.3577161","url":null,"abstract":"Vibration signal analysis is one of the most effective and convenient method for fault diagnosis in rolling bearing. A challenging problem is how to extract the fault features from the noisy signal accurately. In this paper, a novel sparse representation algorithm, a weighted nonconvex sparse representation with high-pass filter function (WNCSR-HPF) is proposed for bearing fault feature extraction. WNCSR-HPF is developed based on a weighted nonconvex sparse regularization term, which can remove the noise interference and promote sparsity. Moreover, an adaptive setup method of regularization parameter is proposed for improving the applicability of WNCSR-HPF. The majorization-minimization (MM)-based algorithm is developed for solving the objective optimization problem in this paper. A simulation signal and a bearing vibration signal are used to illustrate the effectiveness of WNCSR-HPF for fault feature extraction. The experimental results show that WNCSR-HPF has the good performance on the fault feature extraction.","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124489657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Particle Swarm Optimization and Differential Evolution Hybrid Algorithm Applied to Calibration of Triaxial Accelerometer","authors":"Chenning Wang, R. He, S. Chen","doi":"10.1145/3577148.3577157","DOIUrl":"https://doi.org/10.1145/3577148.3577157","url":null,"abstract":"The calibration accuracy of the accelerometer, a key device in an inertial navigation system, directly affects the navigation accuracy. In our study, a novel calibration method for a triaxial accelerometer was presented with automatic online calibration. A robotic arm was used to set different orientations for the accelerometer. The error parameters, including the scale factor and bias, were estimated using a particle swarm optimization (PSO) and differential evolution (DE) hybrid algorithm with adjustable inertia weight. The effectiveness of the new algorithm was validated using simulated data with or without noise in simulation. Simulation results showed that the hybrid algorithm increased the measurement accuracy by many orders of magnitude and outperformed the single PSO and DE algorithms in terms of convergence speed and global searchability. The new algorithm was applied to a real accelerometer experiment. The experiment results demonstrate that proper calibration parameters can be obtained without a precise turntable.","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"os-57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127718932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Auccahuasi, Sandra Meza, K. Rojas, Oscar Linares, Miryam Inciso-Rojas, Aly Auccahuasi, Edward Flores, E. Felix, J. Aybar, Tamara Pando-Ezcurra
{"title":"Methodology for Monitoring Vital Signs in Virtual Classes Using Low-cost Sensors in Online Classes","authors":"W. Auccahuasi, Sandra Meza, K. Rojas, Oscar Linares, Miryam Inciso-Rojas, Aly Auccahuasi, Edward Flores, E. Felix, J. Aybar, Tamara Pando-Ezcurra","doi":"10.1145/3577148.3577159","DOIUrl":"https://doi.org/10.1145/3577148.3577159","url":null,"abstract":"The effects of the COVID-19 pandemic have led to certain patterns in the different actions people take. One of the areas in which this pandemic has impacted most strongly is related to educational activities and children were the most affected. They went from studying in their schools where they have all the conditions, to a physical space at home. This strong change in the environment added to the high levels of contagion, have caused students to present certain manifestations such as the level of stress which can be manifested by many factors such as the main vital signs such as oxygen saturation and heart rate. In this paper we present a methodology to perform these measurements in order to evaluate these measurements when students are attending classes from home.","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effect of Oxygen in The Environment to The Performance of PdNi Nano-Film Hydrogen Sensor","authors":"Jiawei Tian, Hongchuan Jiang","doi":"10.1145/3577148.3577160","DOIUrl":"https://doi.org/10.1145/3577148.3577160","url":null,"abstract":"The effect of the oxygen in the environment to the performance of PdNi nano-film hydrogen sensor was studied in this work. Caused by oxygen absorption, the resistance of the sensor drops rapidly before it increases when hydrogen is introduced, and increases again after decreases to the bottom when hydrogen is discharged. This phenomenon interferes with the accurate detection of hydrogen concentration. Especially when the working temperature is increased and the detecting hydrogen concentration is decreased, the presence of oxygen causes more intense fluctuations in the resistance of the sensor. Finally, we found a way to effectively suppress the influence of oxygen, which is, using reactive sputtering with a proper amount of hydrogen to replace ordinary sputtering to fabricate PdNi nano-film.","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","authors":"","doi":"10.1145/3577148","DOIUrl":"https://doi.org/10.1145/3577148","url":null,"abstract":"","PeriodicalId":107500,"journal":{"name":"Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125682282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}