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Noise effects, analysis and control in hospitals - A review 医院噪音影响、分析和控制 - 综述

Noise & Vibration Worldwide Pub Date : 2024-02-15 DOI: 10.1177/09574565241235326

Naresh K. Raghuwanshi, Sarvesh Kumar Yadav, P. Jayaswal, Anand Parey

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Noise effects, analysis and control in hospitals - A review 医院噪音影响、分析和控制 - 综述

Noise & Vibration Worldwide Pub Date : 2024-02-15 DOI: 10.1177/09574565241235326

Naresh K. Raghuwanshi, Sarvesh Kumar Yadav, P. Jayaswal, Anand Parey

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Vibration based damage detection for hybrid composite cantilever beam using finite element analysis and artificial neural network 利用有限元分析和人工神经网络对混合复合材料悬臂梁进行基于振动的损伤检测

Noise & Vibration Worldwide Pub Date : 2023-12-21 DOI: 10.1177/09574565231222617

Ashok Ravichandran

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Damage quantification of a metallic beam under thermo-mechanical loads using novel empirical correlations and neural network 利用新型经验相关性和神经网络对热机械载荷下的金属梁进行损伤量化

Noise & Vibration Worldwide Pub Date : 2023-12-18 DOI: 10.1177/09574565231222616

B. A. Zai, Asif Mansoor, Umer Abdullah Siddiqui, Jahanzeb Javed, Najam us Saqib

{"title":"Damage quantification of a metallic beam under thermo-mechanical loads using novel empirical correlations and neural network","authors":"B. A. Zai, Asif Mansoor, Umer Abdullah Siddiqui, Jahanzeb Javed, Najam us Saqib","doi":"10.1177/09574565231222616","DOIUrl":"https://doi.org/10.1177/09574565231222616","url":null,"abstract":"This research examines the interactions between fracture depth and crack location on a cantilever beam’s dynamic response under thermomechanical loads. The structure’s stiffness is significantly influenced by temperature, and changes in stiffness can alter the response’s damping, frequency, and amplitude. The basis for measuring damage to an Aluminium 2024 specimen under thermomechanical loads is provided by these variations. Cantilever beams are used in experiments that are carried out at elevated temperatures, such as 50°C, 100°C, 150°C, and 200°C, as well as at room temperature (non-heating). This analysis takes into account a cantilever beam with different initial fracture depths and positions. The outcomes of the experimental, analytical, and numerical work are found to be in good accord. This research mainly fill the gaps of recent techniques for structure health monitoring of metallic structures where the coupled loads exist. Dynamic response formulation is presented experimentally on beam for the first time under thermo-mechanical loads. The dynamic parameters vary with material stiffness, thus; this change is also investigated by introducing the temperature as a key variable using a specially designed temperature controller. A novel technique is presented for damage estimation in metallic structures using the experimental data that is currently accessible which is later compared with the neural network approach. This tool helps in finding out and quantifying damagesusing dynamic response, temperature along withfinding of subsurface cracks. The results establisha clearway of diagnosing the crack growth at any particular instant under thermo-mechanical loads within the operational condition.","PeriodicalId":508830,"journal":{"name":"Noise & Vibration Worldwide","volume":"12 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Research progress on bearing fault diagnosis with signal processing methods for rolling element bearings 用信号处理方法诊断滚动轴承故障的研究进展

Noise & Vibration Worldwide Pub Date : 2023-12-14 DOI: 10.1177/09574565231222615

Samruddhi Patel, Sanjay Patel

{"title":"Research progress on bearing fault diagnosis with signal processing methods for rolling element bearings","authors":"Samruddhi Patel, Sanjay Patel","doi":"10.1177/09574565231222615","DOIUrl":"https://doi.org/10.1177/09574565231222615","url":null,"abstract":"As a prerequisite for rotating machinery to operate effectively, rolling element bearings play an essential role. The focus of condition monitoring has initially been on defect identification, then on its measurement, and eventually on automatic defect prediction. The improvement in signal processing has made this breakthrough possible. The quality of characteristics taken from the bearing signals strongly impacts how effective these techniques are. Aiming to provide the researchers with the option to choose and implement the optimum signal analysis method, the authors have described numerous signal processing techniques used to diagnose faults in rolling element bearings. The research study examines several important studies and explains their relevance to locating rolling bearing defects. It analyzed recent research, ones from the past, and developments in the field of diagnosing bearing defects. The main goal of the research is to investigate different vibration signal processing and analysis methods for locating and evaluating bearing faults. After that, each of these subjects is rigorously analyzed in order to draw conclusions, spot new trends, and pinpoint areas that still need more research. This article is meant to serve as a guide for those who operate in the condition monitoring domain.","PeriodicalId":508830,"journal":{"name":"Noise & Vibration Worldwide","volume":"200 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139179376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise &amp; Vibration Worldwide最新文献

Noise & Vibration Worldwide最新文献