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A Novel Fault Diagnosis Method for acceleration sensor Utilizing IEM-Based LLE and WKELM

MECHANIKA 2025年第1期31卷 67-72页

作者： Gao, Zihang Wenzhou Vocat Coll Sci & Technol Inst Digital & Intelligent Technol Wenzhou 325006 Peoples R China

In this study, fault diagnosis method for acceleration sensor by IEM-locally linear embedding and weighted kernel ELM (IEMLLE-WKELM) is proposed. An IEMbased LLE method is proposed to reduce the features of acceleration sensor data. The IEMLLE's discrimination rate of the two types of sample data is higher than that that of LLE. In addition, a weighted kernel ELM algorithm using kernel functions is beneficial for improving the robustness and nonlinear processing ability of the traditional weighted ELM is proposed. The testing results show that shows that the fault diagnosis accuracy for acceleration sensor by using IEMLLE-WKELM is 99.375%, the diagnosis accuracy for acceleration sensor by using LLE-WKELM for acceleration sensor is 95.625%, the diagnosis accuracy for acceleration sensor by using LLE-ELM is 94.375%, and the diagnosis accuracy for acceleration sensor by using PCA-ELM is 92.5%, it is concluded that IEMLLE-WKELM is the higher diagnosis accuracy for acceleration sensor than other methods.

关键词： IEMLLE weighted kernel extreme learning machine fault diagnosis acceleration sensor

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acceleration sensor of medium-high frequency dual FBG based on L-shaped support sensitization structure

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MEASUREMENT & CONTROL 2022年第7-8期55卷 869-877页

作者： Qiu, Zhongchao Sun, Rui Hong, Li Chen, Yiliu Yu, Ruihong Gao, Qiang China Earthquake Adm Inst Geophys Beijing Peoples R China Inst Disaster Prevent Sch Elect Sci & Control Engn 465 Xuehui St Sanhe 065201 Hebei Peoples R China Key Lab Seism Dynam Hebei Prov Sanhe Hebei Peoples R China

It is a key part for micro seismic crack detection, mechanical equipment operation state and structural health monitoring to measure high frequency vibration. A kind of FBG acceleration sensor based on flexure hinge is proposed targeting at the problem of existing medium-high-frequency FBG acceleration sensor's low sensitivity. Two FBGs are fixed on L-shaped support in a differential arrangement to improve sensitivity of sensor and eliminate adverse effects caused by temperature changes. Matlab and ANSYS software are used to simulate, analyze and optimize sensor. According to the simulation results, the real sensor is made, and the sensor calibration experiment is carried out. Research results show that resonant frequency of sensor is about 1700 Hz and has good linearity in flat range of 50-1000 Hz. Sensitivity of sensor can reach 18.9 pm/g, while linearity is higher than 99%, and temperature sensitivity is merely 0.074 pm/degrees C. Research results provide reference for researching and developing the same type of sensor, and further improving optical fiber acceleration sensor sensitivity.

关键词： FBG acceleration sensor flexure hinge medium-high frequency

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Monitoring method of cutting forces and vibrations by using frequency separation of acceleration sensor signals during milling process with small ball end mills

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PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY 2024年 85卷 337-356页

作者： Kouguchi, Junichi Yoshioka, Hayato Beckhoff Automat KK Nisseki Yokohama Bldg 18F1-1-8 Sakuragi ChoNaka Yokohama Kanagawa 2310062 Japan Univ Tokyo 4-6-1 KomabaMeguro Ku Tokyo 1538505 Japan

Recently, there has been a further demand for precise monitoring of milling process with a machine tool by a simple and cost-effective method. One of the ways for monitoring is to install acceleration sensors to the tool spindle and estimate cutting forces from the model of the tool spindle structure. This method generally allows stable monitoring of cutting forces for tools with large diameters. However, in case of using tools with small diameters, it is difficult to estimate the cutting force due to higher frequency vibrations generated near the tool center point. Therefore, to solve the problem, we propose a new monitoring method by signal analysis of acceleration sensors in this research. The problem is that the acceleration sensor signals contain two types of signals, such as 'acceleration change due to mechanical displacement of a tool spindle generated by cutting load' and 'high frequency self-excited and forced vibration'. In our method, we separate these two signals by using an approximation of sequential quadratic regression. From the former, cutting forces are estimated from equation of motions which are obtained in advance from frequency responses of the tool spindle, and from the latter, intensities of vibrations due to milling are estimated. This method was tested several milling patterns such as large cutting loads, fluctuations of cutting loads, and cutting during abnormal vibrations. As a result, we have achieved in-process monitoring of milling process not only in the X and Y directions, but also in the Z direction with a small radius ball end mill.

关键词： Machining Cutting force Vibration acceleration sensor Milling process monitoring Signal analysis

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A dual fiber grating acceleration sensor based on elastic ring structure of "8"shape

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OPTICAL FIBER TECHNOLOGY 2024年 88卷

作者： Li, Kangning Zhao, Qiang Du, Jiewei Sun, Peng Li, Zunwei Guo, Fengxiang Du, Dawei Qilu Univ Technol Inst Oceanog Instrumentat Shandong Acad Sci Qingdao 266061 Peoples R China Laoshan Lab Qingdao 266237 Peoples R China Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Natl innovat Ctr high speed train Qing Dao Qingdao 266111 Peoples R China

To broaden the frequency band and maintained higher sensitivity of the fiber Bragg grating (FBG) acceleration sensor, an acceleration sensor based on elastic ring structure of "8"shape is designed, which can realize temperature compensation. The wavelength shift difference of two fiber gratings is used as the output signal to eliminate the temperature effect. The characteristics of the sensor are analyzed using elastic mechanics theory and finite element simulation, and finally, the theory of the proposed sensor is verified by experiments, and the experimental results show that the sensor has a good response flat region at 10 similar to 300 Hz, the sensitivity is 32 pm/G, the lateral interference level below 25% of the sensitivity in the working direction, and the temperature impact is reduced to 1.13 pm/degrees C in the range of -5 similar to 35 degrees C, which can meet the requirements of mechanical equipment fault diagnosis.

关键词： FBG acceleration sensor Elastic ring Self-temperature compensation

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Road Surface Pits and Speed Bumps Recognition Based on acceleration sensor

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IEEE sensorS JOURNAL 2024年第7期24卷 10669-10679页

作者： Yin, Yunfei Fu, Wanli Ma, Xianyong Yu, Junpeng Li, Xinkai Dong, Zejiao Harbin Inst Technol Sch Transportat Sci & Engn Harbin 150090 Peoples R China China State Construct Engn Hong Kong Ltd Hong Kong Peoples R China

Road potholes pose dangers to traffic safety, damaging vehicles, and increasing accident risks, especially during low visibility conditions. Traditional detection methods are costly, inefficient, and inaccurate. Leveraging advancements in smartphone sensor capabilities, this article presents a novel approach for road pothole and speed bump detection using smartphone acceleration and GPS sensors, along with extract data features filter (EDFF) technology. The method involves preprocessing acceleration data using Euler point, least squares, and wavelet techniques to enhance accuracy by reducing noise. The genetic algorithm is then employed to identify car model parameters. In addition, EDFF is established based on data features to differentiate between speed bumps and grooves and determine groove properties. Experimental results using real data from Harbin show pit recognition accuracy of over 75% and 100% accuracy for speed bumps. This demonstrates the proposal's effectiveness in detecting pits and speed bumps accurately, making it useful for practical engineering applications.

关键词： Roads sensors Automobiles Wavelet transforms Data models Noise reduction Diseases acceleration sensor extract data features filter (EDFF) pavement potholes road detection speed bumps

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Medium-High-Frequency and High Sensitivity Fiber Optic acceleration sensor Based on F-P Interference

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IEEE sensorS JOURNAL 2024年第22期24卷 36751-36760页

作者： Wang, Du Dong, Mingli Zhu, Lianqing Song, Yanming Zhu, Yunhong Beijing Univ Technol Sch Mech & Energy Engn Beijing 100124 Peoples R China Beijing Informat Sci & Technol Univ Key Lab Minist Educ Optoelect Measurement Technol & Instru Beijing 100192 Peoples R China Beijing Informat Sci & Technol Univ Beijing Lab Opt Fiber Sensing & Syst Beijing 100016 Peoples R China

A high sensitivity fiber-optic acceleration sensor based on a Fabry-Perot Interferometer (FPI) formed by an aluminum alloy elastic mass-block structure is proposed for measuring acceleration signals in a vibrating environment. The sensing structure mainly consists of a single-mode optical fiber collimated reflector 1, reflector 2, and an elastic mass-block structure, where the optical fiber collimated reflector 1 and the reflector 2 located on the upper surface of the elastic mass block form an F-P interferometric cavity. According to the F-P interferometric sensing principle, the reflectivity of the two end faces and the cavity length parameters are simulated and optimized to produce an acceleration sensor with a high finesse reflectance spectrum (extremely narrow spectral trough). The mass block dimensions of the sensing structure were simulated and optimized and performance was analyzed using finite element software, and the sensor was fabricated according to the analysis results, and the amplitude-frequency response, sensitivity characteristics, and lateral anti-interference capability of the sensor were investigated experimentally. The experimental results show that the sensor has an intrinsic frequency of 2100 Hz, a sensitivity of 4.91 nm/g at 1300 Hz, a resolution of 0.204 mg, and a transverse immunity of less than 5% within the operating bandwidth of 0-1300 Hz. The sensor proposed in this article is characterized by high sensitivity, a large operating bandwidth range, and low lateral interference, making it suitable for monitoring medium- and high-frequency vibration signals in aerospace and other equipment structures.

关键词： sensors Optical fiber sensors Optical fibers Reflection Interference Demodulation Reflectivity Sensitivity sensor phenomena and characterization Mirrors acceleration sensor Fabry-Perot interferometer (FPI) high sensitivity medium-high-frequency optical fiber sensing

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A novel fiber Bragg grating acceleration sensor based on the double-hinge structure

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JOURNAL OF OPTICS-INDIA 2024年 1-8页

作者： Sun, Yudan Li, Binwen Li, Wenjing Liu, Qiang Fu, Tianshu Liu, Wei Chu, Paul K. Liu, Chao Daqing Normal Univ Coll Mech & Elect Engn Daqing 163712 Peoples R China Northeast Petr Univ Sch Phys & Elect Engn Daqing 163318 Peoples R China City Univ Hong Kong Dept Mat Sci & Engn Dept Phys KowloonDept Biomed Engn Tat Chee Ave Hong Kong Peoples R China

A novel fiber Bragg grating (FBG) acceleration sensor with the double-hinge structure is designed and analyzed. The influence of the structural parameters on the sensor characteristics is determined theoretically and the structural parameters are optimized by the finite element method. By adopting the optimal structural parameters, the double hinge structure is prepared with 304 stainless steel and the FBG which is pasted on the surface of the two hinges is used to measure the acceleration sensing characteristics. Experimental results reveal flat response in the vibration frequency range of 50 similar to 600 Hz and sensitivity of 300 mV/g at 600 Hz. At the same time, the operational frequency range and sensitivity can be adjusted to accomplish a wide dynamic range and high sensitivity by optimizing the hinge parameters.

关键词： acceleration sensor FBG Double hinge Vibration measurement

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A Study of Fish Bite Data Collection System Using acceleration sensor for Sabiki Fishing

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IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2025年

作者： Taniguchi, Yoshiaki Harada, Takuto Kawahara, Shun Kindai Univ Fac Informat KDIX 3-4-1 Kowakae Higashiosaka Osaka 5778502 Japan Kindai Univ Cyber Informat Res Inst 3-4-1 Kowakae Higashiosaka Osaka 5778502 Japan Kindai Univ Fac Sci & Engn 3-4-1 Kowakae Higashiosaka Osaka 5778502 Japan

In this letter, we conduct an initial verification to see if it is possible to detect a fish bite and estimate the water depth of a fishing rig using acceleration data obtained from a device attached to a fishing rod in the case of Sabiki fishing. We developed a prototype of a fish bite data collection system using an off-the-shelf and low-performance device. Through experimental evaluations, we showed the possibility of detecting fish bites using acceleration data. In addition, we confirmed that the smallest mean absolute error of water depth estimation of our proposed system is 0.131 m. (c) 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

关键词： Sabiki fishing fish bite water depth line length acceleration sensor

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Track and field training state analysis based on acceleration sensor and deep learning

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EVOLUTIONARY INTELLIGENCE 2023年第5期16卷 1627-1636页

作者： Zhang, Yong Qiqihar Univ Qiqihar 161006 Peoples R China

One action of a human is completed under the control of the relevant system of body. The realization of movements is complex, diverse, and detailed, with flexibility and variability that cannot be achieved by machinery. Human motion analysis and recognition is a challenging research topic that plays an essential role in promoting bionic engineering, medical engineering, sports competition, and game animation. The traditional human motion estimation method relies heavily on image segmentation, so it may be affected by inaccurate segmentation in the process of athlete movement detection, resulting in errors in the following analysis. This paper proposes a track and field training state recognition method based on the acceleration sensor and deep learning algorithms. The proposed method uses an acceleration sensor to detect the accurate motion information of the human body in real-time and a deep learning method to process and analyze the data, which can provide robust data and analysis results even in inclement weather, such as on rainy or snowy days. The proposed method does not rely on unstable image segmentation or perception results. However, it only carries out state analysis through real-time sensor data, which can provide robust analysis results of track and field training. Practical tests show that the proposed method is robust, stable, and robust to sensor and motion noise. At the same time, this method can provide more accurate motion estimation and state analysis. Based on the validation of the public dataset UTD-MHAD, the proposed method significantly improves action recognition accuracy.

关键词： Motion estimation Motion analysis acceleration sensor Deep learning

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High-Sensitivity Fiber-Optic Fabry-Perot acceleration sensor Based on a Cascaded-Curved Beams Structure

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IEEE sensorS JOURNAL 2023年第24期23卷 30386-30393页

作者： Tong, Zhengrong Xin, Jianwei Wang, Xue Zhang, Weihua Tianjin Univ Tianjin Key Lab Film Elect & Commun Devices Minist Educ Engn Res Ctr Optoelect Devices & Commun TechnolSc Tianjin 300384 Peoples R China

A high-sensitivity fiber-optic Fabry-Perot interferometer (FPI) based on a stainless steel diaphragm for acceleration detection is proposed. The sensitive element is mainly composed of an elastic diaphragm whose both sides are bonded with two mass blocks symmetrically. The optical fiber is coaxial aligned with the sensitive element and the incident light is reflected at the end face of the fiber and the polished surface of the mass block to form an FPI. To improve the sensitivity and reduce cross-interference, a novel diaphragm with a cascaded-curved beams structure was designed. The cascaded-curved beams can extend the length of the beam and increase the lateral stiffness to keep the mass block from being tilted under the cross-interference. The performance of the sensor was simulated and the experimental results are demonstrated. The results indicate that the natural frequency of the sensor is 164 Hz, the sensitivity is 9.07 mu m /g, and the cross-sensitivity is 0.65%. The sensor has a good application prospect for acceleration measurement of engineering structures.

关键词： acceleration sensor cross-interference curved beam Fabry-Perot interferometer (FPI)

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