Improvement of Method Queues by Progress of the Piezoresistive Accelerometer Parameters

Defdaf, Mabrouk; Ghemari, Zine; Hadjaj, Aoel. Elias; Saad, Salah

doi:10.1142/s0219686717500147

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…Hari et al [19] propose a novel nonplanar dual flexure geometry to achieve low cross-axis sensitivity. Defdaf et al [20] reinforce the step and impulse responses of the piezoresistive accelerometer by damping rate and frequency range. Ghemari and Saad [21] propose a model relating the piezoresistive accelerometer displacement as a function of the measurement.…”

Section: Related Workmentioning

confidence: 92%

The Sensitivity Design of Piezoresistive Acceleration Sensor in Industrial IoT

Dong¹,

Ye²,

Liu³

et al. 2019

IEEE Access

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Piezoresistive acceleration sensors are widely used in various fields of the industrial Internet of Things because of their lightweight, fast response, and small size. The structural sensitivity of the sensor affects the accuracy of the measurement. And the sensitivity that the traditional method designs are only a feasible solution, not an optimal solution. Due to the differences in factory processes, the optimization of structural sensitivity is an NP-hard problem. To solve the design problem of structural sensitivity, we adopt the swarm intelligence algorithm in this paper, and we design a model for the structural sensitivity of the piezoresistive acceleration sensor. In addition, an improved grasshopper optimization algorithm (CC-GOA) that combines chaos strategy and Cauchy mutation is proposed to optimize the structural sensitivity of the piezoresistive acceleration sensor, and the structure of the sensor is composed of four beams and mass block. The experiments are compared with six well-known algorithms on 16 benchmark functions to verify the algorithm performance of CC-GOA, and then, the structural sensitivity of the piezoresistive acceleration sensor is optimized by CC-GOA. The results indicate that the piezoresistive acceleration sensor is designed with high sensitivity and superiority.

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Section: Related Workmentioning

confidence: 92%

The Sensitivity Design of Piezoresistive Acceleration Sensor in Industrial IoT

Dong¹,

Ye²,

Liu³

et al. 2019

IEEE Access

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“…Vibration is a common phenomenon in various mechanical systems and structures, ranging from rotating machinery like motors, pumps, and turbines to bridges, buildings, and vehicles [1][2][3]. When a mechanical system operates, it generates vibrations because of imbalances, misalignments, wear, resonance, structural weaknesses, or other mechanical faults [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of vibration analysis for medical diagnosis

Mohamedi

2024

PMD

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The ability to interpret vibration signals in the biomedical field offers a promising path toward continuous improvement of medical devices. By examining the revolutions per minute profile, analysts can identify any deviations or anomalies in the vibration patterns at different speeds. This information can help identify potential faults or imbalances within the rotating machinery. With a comprehensive understanding of the revolutions per minute profile, analysts can make informed decisions regarding maintenance and repairs. Besides, the analysis of the order of vibration signals represents an essential pillar of biomedical engineering, bringing an innovative and in-depth perspective to the development of medical devices, and contributing to the continued advancement of medical technology and healthcare. Integrating vibration analysis into preventive maintenance practices can help ensure the reliability of medical equipment, reduce potential risks to patients, and contribute to the advancement of healthcare quality.

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“…Vibrations can be classi ed into different types based on their characteristics and underlying mechanisms. Some common types include free vibrations, forced vibrations, damped vibrations, and resonance vibrations [17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Integrated Fault Detection in AC Induction Motors Using Electrical and Vibration Signals

Hamdi,

Felahi

2023

Preprint

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This article emphasizes the importance of identifying faults in critical components, particularly rotor bars. Rotor bars are integral parts of the motor's rotor assembly, and any damage or faults in these components can significantly impact the motor's overall performance. The main focus of the article is to explore a method for detecting faults in AC induction motors, with a specific emphasis on identifying broken rotor faults. The method involves a systematic approach to fault detection that utilizes both electrical and vibration signals generated by the motor.

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Improvement of Method Queues by Progress of the Piezoresistive Accelerometer Parameters

Cited by 14 publications

References 11 publications

The Sensitivity Design of Piezoresistive Acceleration Sensor in Industrial IoT

The Sensitivity Design of Piezoresistive Acceleration Sensor in Industrial IoT

Application of vibration analysis for medical diagnosis

Integrated Fault Detection in AC Induction Motors Using Electrical and Vibration Signals

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