Cluster analysis of acoustic emission activity within wood material: Towards a real-time monitoring of crack tip propagation

Diakhaté, Malick; Bastidas‐Arteaga, Emilio; Pitti, Rostand Moutou; Schoefs, Franck

doi:10.1016/j.engfracmech.2017.06.006

Cited by 43 publications

(25 citation statements)

References 23 publications

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“…The results showed that the AE signals were well separated and the classes bounds were clearly identified. The same analysis using the Laplacian score procedure to select the relevant descriptors has been realized for other fibre reinforced plastic composites 26 showing the efficiency of this method.…”

Section: Introductionmentioning

confidence: 81%

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Alia

Fantozzi

Godin

et al. 2019

Journal of Composite Materials

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The present work deals with the mechanical characterization of a woven jute fabrics reinforced polyester resin composite. Two stacking sequences were considered: [0]8 and [+45/−45]2S. In-situ acoustic emission technique, X-ray computed tomography (X-ray CT) and post-mortem microscopic observations were used to characterise the damage mechanisms and to follow their evolutions during uniaxial tension. The microstructural analysis and X-ray CT revealed the following damage modes for the two lay-ups: fibre-matrix debondings which constitute the dominant mechanism, matrix crackings and fibre breakages and pull-outs. The acoustic emission data were processed using an unsupervised pattern recognition technique which combines principal components analysis and k-means optimized by a genetic algorithm. Both temporal and frequential features of acoustic emission signals were considered. The Laplacian score and dendrogram were used to determine the relevant and uncorrelated descriptors for clustering. Three clusters of events were obtained and the waveforms of each one were examined. Furthermore, the frequency contents of signals of each cluster were accurately investigated using power density spectrum and smoothed pseudo Wigner-Ville time-frequency distribution and the discrepancies between clusters are highlighted. Cluster 1 (Cl 1) characterized by signals of low frequency and intermediate amplitude, cluster 2 (Cl 2) characterized by signals of higher frequency and an amplitude similar to that of Cl 1 and cluster 3 (Cl 3) characterized by signals of higher amplitude. A correlation between the clusters and the damage mechanisms was established by means of interrupted tensile tests: Cl 1 is assigned to the matrix cracking, Cl 2 to the fibre-matrix debonding and Cl 3 to the fibre breakage and pull-out. The kinetic of evolution of each damage mode was monitored for the two stacking sequences.

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Section: Introductionmentioning

confidence: 81%

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Alia

Fantozzi

Godin

et al. 2019

Journal of Composite Materials

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“…Nowadays, AE 136 becomes a very accurate and efficient method for fault, leaks and fatigue detection and monitoring techniques in materials 137,138 and structural analysis. 139 That include, concrete, 140,141 plastics, 142–144 polymers, 145–147 ceramics, 148–150 pipelines, 151–153 pressure vessels, 154,155 storage tanks, 156–159 bridges, 160–162 aircraft, 163,164 bucket trucks, 165 wood, 166–168 fiberglass, 169–172 composites, 173–175 welding, 176–178 , tubes, 179 aerospace structures 180–182 and finally for military applications. 183–185 Figure 2 illustrates AE instrumentation chain.…”

Section: General Background Of Ae Analysismentioning

confidence: 99%

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

AlShorman

Alkahatni

Masadeh

et al. 2021

Advances in Mechanical Engineering

125

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Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the remaining useful life (RUL) of machinery is crucial for continuous monitoring and timely maintenance. Moreover, reduced maintenance costs, enhanced safety, efficiency, reliability, and availability are the main important industrial issues to maintain valuable and high-cost machinery. Undoubtedly, induction motor (IM) is considered to be a pivotal component in industrial machines. Recently, acoustic emission (AE) becomes a very accurate and efficient method for fault, leaks and fatigue detection and monitoring techniques. Moreover, CM and FD based on the AE of IM have been growing over recent years. The proposed research study aims to review condition monitoring (CM) and fault diagnosis (FD) studies based on sound and AE for four types of faults: bearings, rotor, stator, and compound. The study also points out the advantages and limitations of using sound and AE analysis in CM and FD. Existing public datasets for AE based analysis for CM and FD of IM are also mentioned. Finally, challenges facing AE based CM and FD for RM, especially for IM, and possible future works are addressed in this study.

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“…In addition, Reiterer et al [33] used AET to investigate the fracture properties of softwood and hardwood materials under open mode loading and proposed combining AET with microscopic observations of fracture surfaces to study the shearing fracture behavior of ageing wood. Diakhate et al [41] applied AET to analyze the fracture in wood material of Double Cantilever Beam specimens under open mode loading.…”

Section: Introductionmentioning

confidence: 99%

The Song Dynasty Shipwreck Monitoring and Analysis Using Acoustic Emission Technique

Zhao

et al. 2019

Forests

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The monitoring of acoustic emission (AE) has allowed tracing of the damage in wooden cultural objects exposed to variations in ambient relative humidity (RH). A year-long on-site AE monitoring of the Song Dynasty shipwreck confirmed the usefulness of the technique in tracing climate-induced damage in wood. New coupling material is tested to make it conform to the conservation rules which is non-corrosive to monitoring objects and a reversible operation. As sensitive parameter of wood damage caused by variations RH, the accumulated ringing counting tends to increase with the increase of daily fluctuation of RH (DFRH). In addition, the damage of wooden cultural objects during shrinkage is stronger than that during swelling. The relationship between the probability of AE activity and the daily DFRH is established and it is determined that the daily variation of RH for long-term protection of the Song Dynasty shipwreck should be controlled within 4%, and an early warning will be given if it exceeds 10%.

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Cluster analysis of acoustic emission activity within wood material: Towards a real-time monitoring of crack tip propagation

Cited by 43 publications

References 23 publications

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Mechanical behaviour of jute fibre-reinforced polyester composite: Characterization of damage mechanisms using acoustic emission and microstructural observations

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

The Song Dynasty Shipwreck Monitoring and Analysis Using Acoustic Emission Technique

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