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Dynamic cooperative identification based on synergetics for pipe structural health monitoring with piezoceramic transducers

机译：基于协同的压电陶瓷换能器动态协同识别管道结构健康监测

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摘要

The monitoring of structural integrity for pipes is one potential structural health monitoring (SHM) application using piezoelectric sensor networks. A dynamic cooperative identification method (DCIM) for pipe SHM with lead zirconate titanate (PZT) is proposed based on synergetics in this paper. A cooperative identification model with a cooperation-competition-update process was developed and its cooperative identification kinetic equation was established. With the governing principle, the order parameter equation and its potential function were acquired. On the basis of the synergetic effect principle, the adjoint vector was obtained from the regional vectors. By using the self-organization principle, the evolution of each order parameter was obtained through strict mathematical ratiocination. By implementing the iterative update principle, an online structural condition update feature was realized. Subsequently, the assessment indices were confirmed. Finally, the performance of the proposed methodology for damage identification for a pipe structural model with various connector damage scenarios created by loosening connectors was investigated. The experiments were conducted in a noisy environment, a disturbance rich environment, and a noisy and disturbance rich environment, separately. The results show that the proposed methodology can identify the healthy condition and various damage conditions within an acceptable monitoring range for metal pipes. Furthermore, the DCIM demonstrates a strong ability to reject disturbances and noise in SHM applications. This proposed approach provides an alternative way to carry out damage and fault identification for pipe engineering structures.
机译：管道结构完整性的监视是使用压电传感器网络的一种潜在的结构健康监视（SHM）应用。提出了一种基于协同学的含铅钛酸铅（PZT）的管道SHM动态协同识别方法（DCIM）。建立了具有合作竞争更新过程的合作识别模型，建立了合作识别动力学方程。利用控制原理，获得了阶数参数方程及其势函数。基于协同效应原理，从区域向量中获得伴随向量。通过使用自组织原理，通过严格的数学推理获得了每个阶参数的演化。通过实现迭代更新原理，实现了在线结构条件更新功能。随后，确定评估指标。最后，研究了针对具有通过松开接头而产生的各种接头损伤情况的管道结构模型的损伤识别的建议方法的性能。实验分别在嘈杂的环境，干扰丰富的环境以及嘈杂和干扰丰富的环境中进行。结果表明，所提出的方法可以在可接受的金属管道监测范围内识别健康状况和各种损坏状况。此外，DCIM表现出强大的抑制SHM应用中干扰和噪声的能力。该方法为管道工程结构提供了一种进行损伤和故障识别的替代方法。

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