Wavelet-fuzzy logic approach to structural health monitoring

Escamilla-Ambrosio, Ponciano Jorge; Liu, X.; Lieven, Nicholas A J; Ramírez-Cortés, Juan Manuel

doi:10.1109/nafips.2011.5751907

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…In [42], the authors demonstrated an innovative concept on the basis of fuzzy concept involving wavelets phenomena for the identification of damages in structure. The methodology is the combination of Wavelet Packet Transform which is used for feature extraction and the capabilities of fuzzy sets to model vagueness as well as uncertainty.…”

Section: Detection Techniques Based On Modern Methodologiesmentioning

confidence: 99%

Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures

Paul¹,

Jafari²

2018

Adv. sci. technol. eng. syst. j.

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This survey paper deals with the structural health monitoring systems on the basis of methodologies involving intelligent techniques. The intelligent techniques are the most popular tools for damage identification in terms of high accuracy, reliable nature and the involvement of low cost. In this critical survey, a thorough analysis of various intelligent techniques is carried out considering the cases involved in civil structures. The importance and utilization of various intelligent tools to be mention as the concept of fuzzy logic, the technique of genetic algorithm, the methodology of neural network techniques, as well as the approaches of hybrid methods for the monitoring of the structural health of civil structures are illustrated in a sequential manner.

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Section: Detection Techniques Based On Modern Methodologiesmentioning

confidence: 99%

Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures

Paul¹,

Jafari²

2018

Adv. sci. technol. eng. syst. j.

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“…Several related damage identification methods are ANFIS-2D-WT, CBR, ZOM, and Wavelet-Neuro-Fuzzy, which can be found in references (Bayissa et al, 2008;Escamilla-Ambrosio, Liu, Lieven, & Ramirez-Cortes, 2011;Kolakowski, 2006;Sunny & Kapania, 2011).…”

Section: Comparisons Of Related Damage Identification Methodsmentioning

confidence: 99%

An integrated approach for structural damage identification using wavelet neuro-fuzzy model

Zhu

Deng

Zhang

2013

Expert Systems with Applications

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“…Fault detection objective for induction motor is analyzed by the initiation of transient signal associated with current that exploits the advantage of fusion of wavelet and decision tree in order to improve the accuracy [104]. WPT is the extended version of wavelet which uses the basis function and resolution both in time and frequency [105]. This can extract the signal feature retaining the characteristics of both stationary and non stationary signal.…”

Section: Motor Diagnostic Using Artificial Intelligence and Deep Learningmentioning

confidence: 99%

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

et al. 2019

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This paper presents condition monitoring aspects of induction motor, its present status with possible mitigation schemes and future maintenance challenges. The induction motors constitute the major portion of motors in domestic and industrial applications. These motors experience different types of failures and faults associated with insulation, bearing, stator, rotor, and eccentricity. As a matter of fact, these faults may subsequently enhance the probability of failures unless proper introspection is not accomplished. In order to reduce the failure time and operating cost, early detection is indispensable which necessitates condition-based approach on contrary to scheduled maintenance. The condition monitoring is a strong candidate to address the diagnosis of machinery failure problems and unreliability. In this context, a comprehensive analysis is reported in the literature with a focus on different methodologies being addressed for such objective. Utmost efforts are made to comprehensively analyze in the reported literature in a sequential manner citing the advantage and limitations in this paper. The authors hopefully described and illustrated the associated problems with possible mitigation in the context of condition monitoring which would be immensely helpful for future researchers working in these aspects and the future roadmap would be clearly reflected.

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Wavelet-fuzzy logic approach to structural health monitoring

Cited by 8 publications

References 7 publications

Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures

Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures

An integrated approach for structural damage identification using wavelet neuro-fuzzy model

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

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