Abstract

For large structural health monitoring in practical applications, the sensor failure in large sensor network will generate the failure of the damage evaluation or the leaving of unmonitored area in a large structure. Hence, in order to realize a real-time and reliable evaluation for the large structural damage and satisfy the requirement of advanced maintenance of the structure, the paper introduces an efficient piezoelectric sensor failure monitoring approach integrated with self-diagnosis and self-reconfiguration reasoning method. Firstly, the developed method is introduced for large structural health monitoring. Then, the effects of piezoelectric actuator and sensor bonding defects on Lamb wave propagations are investigated in a real-world monitoring experiment for the large aviation aluminum plate. Lastly, the self-diagnosis and self-reconfiguration method of piezoelectric actuator and sensor network for large structural health monitoring based on Lamb wave for the passive and active damage monitoring is verified in the experiment. Based on the results shown in the experiment, a big potential in real-time application demonstrates that the method can accurately and rapidly identify the sensor failure by reasoning and analyzing Lamb wave propagations using proposed methods.

Highlights

  • Structural health monitoring (SHM) based on the use ofLamb wave propagations requires relatively a large number of piezoelectric active sensors

  • The paper introduces an efficient PZT sensor failure monitoring approach integrated with self-diagnosis and reconfiguration reasoning method

  • The self-diagnosis and self-reconfiguration method of PZT actuator and sensor network for the passive and active damage monitoring is verified in the experiment

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Summary

Introduction

Lamb wave propagations requires relatively a large number of piezoelectric active sensors. The problem of sensor self-diagnosis and self-reconfiguration in SHM has been studied by different researchers. For practical applications, the piezoelectric actuator and sensor network is required to introduce the selfdiagnosis and reconfiguration of the piezoelectric ones in order to prove the fast and efficient damage evaluation in a large structure. For large SHM, an efficient method is introduced to self-diagnose and self-reconfigure piezoelectric actuator and sensor network and give the more reliable evaluation for the large structural damage. The paper introduces an efficient PZT sensor failure monitoring approach integrated with self-diagnosis and reconfiguration reasoning method. The self-diagnosis and self-reconfiguration method of PZT actuator and sensor network for the passive and active damage monitoring is verified in the experiment.

Self-Diagnosis and Self-Reconfiguration
The Effects of Piezoelectric Actuator and Sensor Bonding
Self-Reconfiguration of Piezoelectric Actuator and Sensor Network
Conclusions
Full Text
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