Low-cost MEMS accelerometer network for rotating machine vibration diagnostics

Pedotti, Luciane Agnoletti dos Santos; Zago, Ricardo Mazza; Giesbrecht, Mateus; Fruett, Fabiano

doi:10.1109/mim.2020.9234762

Cited by 12 publications

(7 citation statements)

References 18 publications

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“…Meng_2021 [59] Goyal_2021 [60] Prashanth_2018 [61] Barusu_2021 [62] Ghemari_2019 [63] Feldman_2015 [64] Low-cost solutions Soto-Ocampo_2020 [65] Papathanasopoulos_2021 [66] Dos Santos Pedotti_2020 [67] Multi-sensor-based approach Sharma_2021 [25] *…”

Section: Unconventional Vibration Sensormentioning

confidence: 99%

“…Lu_2018 [68] Dos Santos Pedotti_2020 [67] Bengherbia_2017 [69] Pre-processing Denoising Sahoo_2018 [70] He_2013 [71] Yan_2012 [72] Kalista_2021 [73] Dovhan_2018 [74] Amplitude modulation and Frequency modulation (AM-FM) process…”

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

“…Compared to other commercial units, the proposed solution has a double recording capacity, any connection to an external computer is required, since storage is carried out directly in its memory, remote capture control is enabled, has a compact size that allows the positioning in difficult access areas and costs less than half the price of comparable devices. Furthermore, Dos Santos Pedotti et al in [67] present a wireless sensor network (WSN) with low-cost nodes formed by microelectromechanical system (MEMS) accelerometers and a highly integrated microcontroller with built-in antenna for Wi-Fi and Bluetooth low-energy (BLE).…”

Section: Multiple Sourcesmentioning

confidence: 99%

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A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

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Section: Unconventional Vibration Sensormentioning

confidence: 99%

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

Section: Multiple Sourcesmentioning

confidence: 99%

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A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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“…Some of these include circuits with analog output from the company Analog Devices such as ADXL335 [16], [63]- [65], [72], [73], [76], ADXL356 [66], ADXL322 [68], and ADXL203 [77]; those of NXP USA Inc., such as MMA6270QT of [62], and MMA7260Q [43]. Various researchers have also employed those having digital output, some from Analog Devices: ADXL345 [16], [63], [65], [67], [74], and ADXL355 [73]; those of NXP which includes the MMA8451Q [75], and the FXLS8471Q [70]; the LSM6DS3TR of STMicroelectronics [71]; and TDK's MPU-6050 [63], [65], [78]. One of the mathematical tools to analyze oscillations consists of applying to the raw signals of MEMS accelerometers the discrete Fourier transform (DFT), using the FFT (Fast Fourier Transform) algorithm [62], [70], [72], [73], [75]- [78].…”

Section: Introductionmentioning

confidence: 99%

Implementation in Microcontrollers of an Algorithm for the Simple Generation of Speed Profiles in a Stepper Motor and Their Associated Kinematics

Fonseca-Campos,

Reyes-Ramírez,

Mata-Machuca

et al. 2023

IEEE Access

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Electric motors are the most widely used actuators for converting electrical to mechanical energy. Stepper motors perform various automated tasks because their position control is accurate. The operation of these devices at high speeds reduces the time required to perform automated operations. However, this can create inconveniences such as loss or excess of steps, with a consequent positioning error. Controlling the motor using a speed profile is the most commonly employed technique for avoiding this problem. Its generation usually requires hardware with high computing power, such as digital signal processors or field programmable gate arrays, and algorithms requiring specifications not published in the motor datasheet. In this study, we implemented an algorithm to simplify the generation of speed profiles. In the acceleration and deceleration regions, the velocity follows a logarithmic, quasi-linear, quadratic, or sinusoidal pattern. The algorithm provides position and time arrays. The speed and acceleration can be calculated in terms of time using numerical derivatives. The simulation results were validated using two microcontrollers to control a stepper motor programmed on Arduino and Micropython platforms. Experimental measurements using an encoder, gyroscope, and accelerometer validated the kinematic response of the stepper motor. These values are in a good agreement with the simulation results.

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“…The rationality of this method is verified, but this system consumes more power quickly and cannot run for a long time. Dos [18] et al made use of the Internet of Things module to build a wireless microelectromechanical system (MEMS) acceleration sensor applied for large rotor vibration monitoring. The MEMS accelerometer combined with wireless communication can provide a feasible alternative which combines the traditional measurement with the Internet of Things, achieving the device data Internet access.…”

Section: Introductionmentioning

confidence: 99%

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

Bai

Zhang

Liang

et al. 2022

J. Phys.: Conf. Ser.

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In view of the problems such as difficulty in and high cost of vibration signal collection of rotating mechanical rotating shaft, this paper proposes a low-cost, fast, stable and reliable hydraulic turbine rotating wheel vibration signal online monitoring scheme specially designed to the imbalance and dynamic balance counterweight of hydraulic turbine rotating shaft. Three high-frequency wireless acceleration sensors are installed on the rotating shaft to monitor the vibration signals of the three directions in real time. Vibration signals are sent to the cloud platform to facilitate data storage. The acceleration signal is decomposed by WOA-VMD. The time domain signal shows the running track of the shaft to guide the dynamic balance counterweight of the rotor. The frequency domain signal is used to analyze the machine vibration in the shaft frequency domain and predict the health status of the shaft according to the frequency change. According to this system, completed the experiment of a hydraulic turbine experiment, proved the feasibility and rationality of the system, and has good application prospect and practical value.

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Low-cost MEMS accelerometer network for rotating machine vibration diagnostics

Cited by 12 publications

References 18 publications

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Implementation in Microcontrollers of an Algorithm for the Simple Generation of Speed Profiles in a Stepper Motor and Their Associated Kinematics

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

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