用于低速状态监测的MEMS传感器的实际实现研究

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
H. M. Praveen, S. P. Singh
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引用次数: 0

摘要

状态监测是工程师保证设备正常运行的重要工具。压电传感器由于其高动态范围和高性能而成为传感器的首选。虽然工业设备有基于振动或润滑质量的监测系统,但由于相关的成本和系统的复杂性,小型商业设备可能没有这样的传感器和监测系统。基于MEMS的加速度计由于其低成本和令人满意的动态范围,目前在广泛的消费硬件中很受欢迎。虽然预算MEMS加速度计不能直接与标准化压电加速度计进行比较,但它们只是成本的一小部分,并且具有适合大多数通用机器的频率响应范围。水泵、齿轮箱、压缩机、排气扇和电机等机器与集成MEMS传感器和物联网硬件相结合,将使智能机器的发展成为可能。这些机器可以与现代家庭或小型商业自动化系统保持连接,这些系统将为用户提供有关机器状况的实时信息。在平衡成本和频率响应的同时选择合适的加速度计可以对健康预测能力产生重大影响。本文报道了对MMA7361三轴加速度计的研究及其实现机器学习方法的简单状态监测应用的可行性。对MEMS加速度计进行了基准测试,并与标准压电加速度计进行了比较。并利用MEMS加速度计对某小型锥齿轮箱进行了故障诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Investigation into Practical Implementation of MEMS Sensors for Low-Speed Condition Monitoring Applications

An Investigation into Practical Implementation of MEMS Sensors for Low-Speed Condition Monitoring Applications

An Investigation into Practical Implementation of MEMS Sensors for Low-Speed Condition Monitoring Applications

Condition monitoring is a vital tool for engineers to ensure equipment uptime. Piezoelectric sensors are by far the preferred choice for sensors owing to their high dynamic range and performance. While industrial equipments have a monitoring system based on vibration or lubrication quality, small-scale commercial equipments may not have such sensors and monitoring systems owing to the associated cost and complexity of the system. MEMS based accelerometers are currently popular for a wide range of consumer hardware due to their low cost and satisfactory dynamic range. While a budget MEMS accelerometer cannot be directly compared to standardized piezoelectric accelerometer, they are just a fraction of the cost and have a frequency response range which are suitable for most generic machines. Machines such as water pumps, gearboxes, compressors, exhaust fans and motors in combination with integrated MEMS sensors and IOT hardware will allow for development of smart machines. These machines can stay connected with a modern home or small-scale commercial automation systems which would provide a user with the real time information regarding the machine’s condition. Selecting the appropriate accelerometer while balancing cost and frequency response can have a significant impact on the health prediction capability. This paper reports a study conducted on the MMA7361 Triaxial accelerometer and its feasibility for simple condition monitoring applications implementing machine learning approaches. A benchmarking test was performed on the MEMS accelerometer and compared with a standard Piezoelectric accelerometer. The MEMS accelerometer was also used to diagnose the fault of a compact bevel gearbox.

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来源期刊
Experimental Techniques
Experimental Techniques 工程技术-材料科学:表征与测试
CiteScore
3.50
自引率
6.20%
发文量
88
审稿时长
5.2 months
期刊介绍: Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.
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