Effects of wireless sensor network uncertainties on output-only modal-based damage identification

Feasibility of Output-Only Modal Identification Using Wireless Sensor Network: A Quantitative Field Experimental Study

Noise Effects on Modal Parameters Extraction of Horizontal Tailplane by Singular Value Decomposition Method Based on Output Only Modal Analysis

According to the great importance of safety in aerospace industries, identification of dynamic parameters of related equipment by experimental tests in operating conditions has been in focus. Due to the existence of noise sources in these conditions the probability of fault occurrence may increases. This study investigates the effects of noise in the process of modal parameters identification b...

Decentralized Output-only Modal Identification Techniques for Wireless Monitoring Systems

Sensor network technology entails the deployment of small, low-power sensor nodes that can communicate with one another. Since sensor networks can be used to monitor the condition of many types of architectural spaces, the technology has recently received significant academic and industrial attention. Amongst the potential applications, structural monitoring of large-scale civil structures is o...

Energy optimization based on routing protocols in wireless sensor network

Considering the great significant role that routing protocols play in transfer rate and choosing the optimum path for exchange of data packages, and further in the amount of consumed energy in the routing protocol, the present study has focused on developing an efficient compound energy algorithm based on cluster structure which is called active node with cluster structure. The purpose of this ...

Reference-based Stochastic Subspace Identification for Output-only Modal Analysis

When performing vibration tests on civil engineering structures, it is often unpractical and expensive to use arti"cial excitation (shakers, drop weights). Ambient excitation on the contrary is freely available (tra$c, wind), but it causes other challenges. The ambient input remains unknown and the system identi"cation algorithms have to deal with output-only measurements. For instance, realisa...