Vibration-Based SHM With Upscalable and Low-Cost Sensor Networks

被引:51
作者
Zonzini, Federica [1 ]
Malatesta, Michelangelo Maria [1 ]
Bogomolov, Denis [1 ]
Testoni, Nicola [1 ]
Marzani, Alessandro [2 ]
De Marchi, Luca [3 ]
机构
[1] Univ Bologna, Adv Res Ctr Elect Syst Informat & Commun Technol, I-40136 Bologna, Italy
[2] Univ Bologna, Dept Civil Chem Environm & Mat Engn DICAM, I-40136 Bologna, Italy
[3] Univ Bologna, Dept Elect Elect & Informat Engn DEI, I-40136 Bologna, Italy
关键词
Synchronization; Logic gates; Monitoring; Micromechanical devices; Sensors; Vibrations; Modal analysis; Microelectromechanical systems (MEMS) accelerometer; operational modal analysis (OMA); piezoelectric sensor; MODAL-ANALYSIS; FREQUENCY; SYSTEM; DAMAGE; IDENTIFICATION; DEVICES; BEAMS;
D O I
10.1109/TIM.2020.2982814
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Structural health monitoring (SHM) is becoming increasingly attractive for its potentialities in many application contexts, such as civil and aeronautical engineering. In these scenarios, modern SHM systems are typically constituted by a multitude of sensor nodes. Such devices should be based on low-cost and low-power solutions both to ease the deployment of progressively denser sensor networks and to be compatible with a permanent installation; this allows real-time monitoring while reducing the global maintenance costs. Among the developed inspection methodologies, operational modal analysis (OMA) is an efficient tool to assess the integrity of vibrating structures. This article describes a sensor network that is based on either microelectromechanical systems (MEMS) accelerometers or cost-effective piezoelectric devices to extract strictly synchronized modal parameters. The performances of the two sensing technologies are evaluated in two different setups, to assess the reliability in the estimation of modal features even in the presence of potential damages. Particular attention was given to the mode shape reconstruction issue from piezoelectric signals, primarily encompassing a purposely developed modal coordinate tuning procedure. Moreover, the consistency of the obtained results paves the way to a more compact and affordable monitoring system exploiting piezoelectric-driven modal analysis.
引用
收藏
页码:7990 / 7998
页数:9
相关论文
共 41 条
  • [1] Experimental evaluation and comparative analysis of commercial variable-capacitance MEMS accelerometers
    Acar, C
    Shkel, AM
    [J]. JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2003, 13 (05) : 634 - 645
  • [2] [Anonymous], 2018, STM32F303XB STM32F30
  • [3] [Anonymous], P OPT FIB COMM C EXH
  • [4] [Anonymous], 2015, INTRO OPERATIONAL MO, DOI DOI 10.1002/9781118535141
  • [5] Wireless Measurement System for Structural Health Monitoring With High Time-Synchronization Accuracy
    Araujo, Alvaro
    Garcia-Palacios, Jaime
    Blesa, Javier
    Tirado, Francisco
    Romero, Elena
    Samartin, Avelino
    Nieto-Taladriz, Octavio
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (03) : 801 - 810
  • [6] A New Impedance Measurement System for PZT-Based Structural Health Monitoring
    Baptista, Fabricio Guimaraes
    Vieira Filho, Jozue
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2009, 58 (10) : 3602 - 3608
  • [7] Prototyping and Validation of MEMS Accelerometers for Structural Health MonitoringThe Case Study of the Pietratagliata Cable-Stayed Bridge
    Bedon, Chiara
    Bergamo, Enrico
    Izzi, Matteo
    Noe, Salvatore
    [J]. JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2018, 7 (03):
  • [8] Brandt A, 2011, Noise and Vibration Analysis: Signal Analysis and Experimental Procedures, DOI DOI 10.1002/9780470978160
  • [9] Cost-Benefit Optimization of Structural Health Monitoring Sensor Networks
    Capellari, Giovanni
    Chatzi, Eleni
    Mariani, Stefano
    [J]. SENSORS, 2018, 18 (07)
  • [10] Chapuis B., 2017, SENSORS ALGORITHMS A