Damage Assessment for Structural Health Monitoring Using Similarity Prescription and Fuzzy Pattern Recognition
نویسندگان
چکیده
Structural Health Monitoring (SHM) is a systematic method for nondestructive evaluation of a structure’s performance by sensing, extracting and analyzing features of the structural system. Most approaches for damage recognition in SHM focus on statistical analyses. We introduce a method to improve nondestructive evaluation for damage assessment by performing damage diagnosis using fuzzy sets. We use optimization to derive parameters that satisfy similarity prescription between damage fuzzy sets. We implement this technique on investigating damage of a steel truss bridge without a priori known levels of damage.
منابع مشابه
A Wavelet-Aided Fuzzy Damage Detection Algorithm for Structural Health Monitoring
An algorithm for structural health monitoring (SHM) is developed for damage detection that addresses two areas of uncertainty overlooked in classical SHM. Artificial neural networks (ANN) coupled with wavelet multi-resolution analysis (WMRA) are utilized for damage detection purposes by processing the structure dynamics monitored by a group of accelerometers. This system employs dynamic respons...
متن کاملNew distance and similarity measures for hesitant fuzzy soft sets
The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is regarded as a useful tool for dealing with the uncertainty and ambiguity of real-world problems. In HFSSs, each element is defined in terms of several parameters with arbitrary membership degrees. In addition, distance and similarity measures are considered as the important tools in different areas such as ...
متن کاملHESITANT FUZZY INFORMATION MEASURES DERIVED FROM T-NORMS AND S-NORMS
In this contribution, we first introduce the concept of metrical T-norm-based similarity measure for hesitant fuzzy sets (HFSs) {by using the concept of T-norm-based distance measure}. Then,the relationship of the proposed {metrical T-norm-based} similarity {measures} with the {other kind of information measure, called the metrical T-norm-based} entropy measure {is} discussed. The main feature ...
متن کاملWeighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition
A new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. The proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. The properties of this similaritymeasure are investigated. It is shown that, the proposed measurehas some advantages in c...
متن کاملAgent-based artificial immune system approach for adaptive damage detection in monitoring networks
This paper presents an agent-based artificial immune system approach for adaptive damage detection in distributed monitoring networks. The presented approach establishes a new monitoring paradigm by embodying desirable immune attributes, such as adaptation, immune pattern recognition, and selforganization, into monitoring networks. In the artificial immune system-based paradigm, a group of auto...
متن کامل