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dc.contributor.authorAladesaye, Matthew
dc.date.accessioned2010-06-23T03:29:23Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2010-06-23T03:29:23Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10179/1388
dc.description.abstractThe economic implications of equipment failure are called for effective maintenance techniques. The research investigates current maintenance practice in several New Zealand industries and the improvements that could be obtained by the use of predictive maintenance techniques. Initial research was undertaken in a series of case studies within New Zealand industries situated in Auckland. The first two cases studies were of preventative maintenance techniques of two conveyor lines in a biscuit manufacturing company. The results showed a well defined preventive maintenance schedules that was Systems Applications Products (SAP) programme was used to managed for daily, weekly, monthly and yearly maintenance activities. A third case study investigated current predictive maintenance technique involving Fast Fourier Transform analysis of shaft vibration to identify a bearing defect. The results diagnosed a machine with a ball bearing defect and recommendation was given to change the bearing immediately and install new one. The machine was opened up, a big dent was on one of the balls as predicted by the analysis and the bearing was changed. Research then looked at a novel technique called Cepstrum analysis that al lows the deconvolution of vibration spectra from separate sources. This allows identification of several defects from the monitoring of a single vibration signal . Experiments were carried out to generate transfer functions for different gear faults at two different loadings. Blind deconvolution of the signal using a homomorphic filter was used to separate the source forcing frequencies from the structure resonance effects of the two gear faults, indicating that the technique could be used successfully to monitor equipment for a range of gear faults occurring simultaneously.en_US
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectPreventative maintenanceen_US
dc.subjectMachinery maintenanceen_US
dc.subject.otherFields of Research::290000 Engineering and Technology::290500 Mechanical and Industrial Engineering::290502 Industrial engineeringen_US
dc.titleApplication of predictive maintenance to industry including Cepstrum analysis of a gearbox : a thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophyen_US
dc.typeThesisen_US
thesis.degree.disciplineAutomation and Controlen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophy (Ph.D.)en_US


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