International Journal of Condition Monitoring最新文献

{"title":"Monitoring system for cable transportation","authors":"N. Saguin-Sprynski, L. Jouanet, M. Billères","doi":"10.1784/204764219826793785","DOIUrl":"https://doi.org/10.1784/204764219826793785","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122478797","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}

{"title":"Milling tool wear prediction using spindle motor current signal","authors":"A. Kumar, S. Singh","doi":"10.1784/204764219826793794","DOIUrl":"https://doi.org/10.1784/204764219826793794","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"410 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124366203","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}

{"title":"Fault diagnosis of planetary gear drive system based on sparse decomposition optimised by generalised matching pursuit algorithm","authors":"Ziheng Zhu, Z. Wang, D. Zhen, Hao Zhang, Z. Shi, F. Gu","doi":"10.1784/204764219826793811","DOIUrl":"https://doi.org/10.1784/204764219826793811","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"552 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123961898","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}

{"title":"Vibration-based fault diagnosis of a face milling tool using empirical mode decomposition features and artificial neural network","authors":"C. Madhusudana, H. Kumar, S. Narendranath","doi":"10.1784/204764219826793802","DOIUrl":"https://doi.org/10.1784/204764219826793802","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127573878","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}

{"title":"Kalman Filtering using Trigonometric Polynomials for Gear Fault Diagnosis Under a Variable Speed Condition","authors":"A. Assoumane, E. Sekko, P. Ravier","doi":"10.1784/204764200409905165","DOIUrl":"https://doi.org/10.1784/204764200409905165","url":null,"abstract":"It is well known that the presence of cracks on a gear tooth\u0000is manifested by both amplitude modulation (AM) and\u0000phase modulation (PM) and their estimation is crucial\u0000for the diagnosis and prognosis of the state of the gearbox.\u0000In this paper, a new demodulation technique for gear fault\u0000diagnosis is proposed based on Kalman filtering combined\u0000with a polynomial basis function of the rotating speed. First,\u0000the problem of demodulation is formulated in terms of the\u0000state-space modelling of the vibration signal. This is achieved\u0000by approximating the modulations using the orthogonal\u0000trigonometric polynomial function of the rotating speed.\u0000Kalman filtering is then used to estimate the coefficients\u0000of the polynomials in order to reconstruct the modulation\u0000signals. This approach is different from classic approaches\u0000such as the narrowband demodulation technique (NBDT)\u0000or time-synchronous averaging (TSA). The advantages of\u0000the proposed approach over the latter are discussed in this\u0000paper and the efficiency of the new approach is also evaluated\u0000using both synthetic and real gearbox vibration signals.","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131386447","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}

{"title":"Locating Faulty Planet Gears Using External Vibration Measurements","authors":"D. Peng, W. Smith, R. Randall","doi":"10.1784/204764293664683623","DOIUrl":"https://doi.org/10.1784/204764293664683623","url":null,"abstract":"In this study, a mesh phasing-based approach is developed\u0000to locate the positions of faulty planet gears using external\u0000vibration measurements. Previous studies have illustrated how\u0000this can be achieved using internal vibration measurements\u0000recorded from a sensor placed on the planet carrier. It was\u0000shown in these studies that the timing of identifiable fault\u0000symptoms in the vibration signal relative to the phase of the\u0000gear-mesh component depends on which of the planet gears\u0000carries a fault. A signal processing technique is then developed\u0000to locate the position of a spalled gear using internal vibration\u0000measurements. However, internally mounted sensors are not\u0000commonly used in planetary gearboxes and it is much more\u0000convenient to mount sensors externally, for example on the\u0000gearbox casing. Therefore, this study extends the concept\u0000of using mesh phasing relationships to locate faulty planet\u0000gears, this time using external vibration measurements. The\u0000updated procedure is validated using experimental data\u0000collected from a test-rig running under a range of operating\u0000conditions. The results show that the updated procedure is\u0000able to identify the locations of faulty planet gears so long as\u0000an absolute phase reference (for example from a tachometer)\u0000of the planet carrier is available.","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130555028","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}

{"title":"Phase editing for enhanced diagnosis of bearing faults under variable speed conditions","authors":"L. Barbini, M. Eltabach, J. L. Dubois","doi":"10.1784/204764218824811552","DOIUrl":"https://doi.org/10.1784/204764218824811552","url":null,"abstract":": The computation of the squared envelope spectrum (SES) on vibration data collected from a rotating machine is a common tool used to diagnose a defective bearing. To enhance the diagnosis, pre-processing methods have to be implemented, before the evaluation of the SES, to suppress vibrations from sources other than the bearings. Conventionally suppression of the spurious components is achieved by exploiting either their separation in the frequency domain or the contrast between deterministic signals and the random vibration components from a defective bearing. Recently the phase editing method (PE) was used to exploit another characteristic of the vibration signal to improve diagnosis in stationary speed conditions. PE caters to, and exploits the scenario where vibrations from a defective bearing have small amplitude compared to vibrations from other components, effectively thresholding the amplitudes of the spectral components of a signal. In this paper the PE method is applied analytically and experimentally to a broader class of machinery, encompassing machines with varying speed conditions. It is demonstrated that the separation of the bearing component and masking components is equally effective in the non-stationary case. Abstract The computation of the squared envelope spectrum (SES) on vibration data collected from a rotating machine is a common tool used to diagnose a defective bearing. To enhance the diagnosis, pre-processing methods have to be imple-mented, before the evaluation of the SES, to suppress vibrations from sources other than the bearings. Conventionally suppression of the spurious components is achieved by exploiting either their separation in the frequency domain or the contrast between deterministic signals and the random vibration components from a defective bearing. Recently the phase editing method (PE) was used to exploit another characteristic of the vibration signal to improve diagnosis in stationary speed conditions. PE caters to, and exploits the scenario where vibrations from a defective bearing have small amplitude compared to vibrations from other components, effectively thresholding the amplitudes of the spectral components of a signal. In this paper the PE method is applied analytically and experimentally to a broader class of machinery, encompassing machines with varying speed conditions. It is demonstrated that the separation of the bearing component and masking components is equally effective in the non-stationary case.","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124292217","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}

{"title":"Automatic track and balance of wind turbine rotors","authors":"M. Bertelè, C. Bottasso, S. Cacciola, Marco Domestici","doi":"10.1784/204764218824811561","DOIUrl":"https://doi.org/10.1784/204764218824811561","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133370444","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}

{"title":"Investigation of Lamb wave modes using broadband thin-film transducers and finite element modelling","authors":"A. A. Ghouri, Y. Alajlani, N. Ahmadi, D. Hutson, K. Kirk","doi":"10.1784/204764218824811543","DOIUrl":"https://doi.org/10.1784/204764218824811543","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131025609","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}

{"title":"On the application of AE technology in continuous monitoring of pipelines of power units operating at high temperatures","authors":"B. Paton, L. Lobanov, A. Nedoseka, S. A. Nedoseka, A. Milenin","doi":"10.1784/204764218824811570","DOIUrl":"https://doi.org/10.1784/204764218824811570","url":null,"abstract":"","PeriodicalId":143386,"journal":{"name":"International Journal of Condition Monitoring","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131236409","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}