mmPhone: Sound Recovery Using Millimeter-Wave Radios With Adaptive Fusion Enhanced Vibration Sensing

Li, Songxu; Xiong, Yuyong; Zhou, Peng; Ren, Zesheng; Peng, Z.K.

doi:10.1109/tmtt.2022.3183575

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…Defined as the repetitive oscillatory motion around a stable point, these phenomena range from the microscopic level to large structural scales [2,3]. In healthcare, vibrations take various forms, including mechanical vibrations in medical equipment, acoustic vibrations affecting hearing, and electromagnetic vibrations utilized in imaging technologies like MRI [4][5][6]. Analyzing these vibrations is vital, as they influence the design and functionality of diagnostic instruments, imaging systems, and therapeutic devices [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis and modeling of forced-damped vibrations and their applications in medicine

Ghemari

2024

PMD

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Forced-damped vibrations are pivotal in various medical applications, significantly contributing to the examination of tissue mechanical properties, development of medical devices, and understanding of biological systems’ complexities. These vibrations represent the dynamic behavior of systems subjected to external forces and damping, where an external force continues to act, and damping determines the rate of energy dissipation. Advanced exploration of damping properties has led to the creation of novel technologies and methods, enhancing our ability to probe and manipulate the complex mechanical dynamics of biological tissues.

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Section: Introductionmentioning

confidence: 99%

Analysis and modeling of forced-damped vibrations and their applications in medicine

Ghemari

2024

PMD

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“…Vibration analysis stands as a cornerstone in the realm of mechanical engineering and structural health monitoring, providing a powerful tool for understanding the dynamic behavior of systems subjected to mechanical oscillations [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. This discipline involves the study and interpretation of vibrational patterns and characteristics within structures or machinery, offering insights into their performance, integrity, and potential issues [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Operational Modal Analysis of a Suspension Bridge Using a Single Accelerometer: Simulation and Eigenfrequency Identification

Hamdi

2023

Preprint

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This study focuses on the practical implementation of Operational Modal Analysis (OMA) with a minimalistic sensor setup, utilizing only a single accelerometer for data acquisition. By employing simulation techniques, the paper explores the identification of eigenfrequencies, a key parameter describing the natural oscillation frequencies of the bridge. This innovative methodology offers valuable insights into the bridge's response to dynamic forces, contributing to a more cost-effective and streamlined approach to structural health monitoring. The paper addresses the inherent challenges and limitations associated with employing a single sensor, showcasing the potential of OMA in scenarios where resource constraints or practical considerations limit the use of multiple sensors. The findings contribute to the broader field of structural dynamics and modal analysis, offering a nuanced perspective on the dynamic characteristics of suspension bridges in real-world conditions.

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“…Vibrations can occur in a wide range of scales, from microscopic particles to massive structures, and can be experienced in various forms, including mechanical, acoustic, and electromagnetic vibrations [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

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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mmPhone: Sound Recovery Using Millimeter-Wave Radios With Adaptive Fusion Enhanced Vibration Sensing

Cited by 10 publications

References 37 publications

Analysis and modeling of forced-damped vibrations and their applications in medicine

Analysis and modeling of forced-damped vibrations and their applications in medicine

Operational Modal Analysis of a Suspension Bridge Using a Single Accelerometer: Simulation and Eigenfrequency Identification

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

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