Condition monitoring of cylindrical roller bearings using integrated piezoelectric transducers

dc.contributor.authorSafian, Ali
dc.contributor.examiningcommitteeLuo, Yunhua (Mechanical Engineering)
dc.contributor.examiningcommitteeCha, Youngjin (Civil Engineering)
dc.contributor.examiningcommitteeWang, Wilson Q. (Lakehead Universsity)
dc.contributor.supervisorLiang, Xihui
dc.contributor.supervisorWu, Nan
dc.date.accessioned2023-08-28T15:35:09Z
dc.date.available2023-08-28T15:35:09Z
dc.date.issued2023-07-13
dc.date.submitted2023-08-15T00:09:58Zen_US
dc.degree.disciplineMechanical Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)
dc.description.abstractBearings are essential mechanical components in rotating systems, operating under varying loads, speeds, and temperatures. Imperfections, such as misalignment or lack of lubrication, can lead to fatigue stress, cracks, and failure of the bearing. For more than three decades, vibration monitoring using accelerometers has been a fundamental technique for condition monitoring, but it faces challenges in detecting weak fault symptoms amidst surrounding noise or long transmission paths. Recently, integrated sensors and local strain measurement have gained attention for bearing condition monitoring due to their reduced susceptibility to noise and enhanced sensitivity to local faults. This research proposes integrating piezoelectric transducers to mitigate transmission path effects. For the designing process, a computationally efficient dynamic model, using lumped parameters and finite element analysis, simulates bearing forces and strain changes under healthy and faulty conditions. The model shows that strain changes on the outer ring are influenced by local faults, and the defect position alters the faulty impulse behavior in the strain signal. By taking advantage of the simulation results, two types of piezoelectric transducers, Lead Zirconate Titanate (PZT) and Polyvinylidene Fluoride (PVDF), are implemented to explore fault detection and speed measurement possibilities. Both transducers effectively detect local faults, outperforming commercial accelerometers in noisy settings with impact and vibration. The two transducers are tested under various conditions such as varying-speed, constant speed, faulty outer ring, and roller fault, and in all cases, the transducers demonstrated a satisfying performance. These findings support the development of smart bearings using these multi-functional transducers for improved condition monitoring and fault detection.
dc.description.noteOctober 2023
dc.description.sponsorshipNatural Science and Engineering Research Council of Canada (Grant Nos. RGPIN-201905361, RGPIN-2021-03356), Research Manitoba New Investigator Operating Grant, the University Research Grants Program (URGP), and Mitacs Accelerate program.
dc.identifier.urihttp://hdl.handle.net/1993/37497
dc.language.isoeng
dc.rightsopen accessen_US
dc.subjectsmart bearing, condition monitoring, piezoelectric, transducers, bearing fault
dc.titleCondition monitoring of cylindrical roller bearings using integrated piezoelectric transducers
dc.typedoctoral thesisen_US
local.subject.manitobano
oaire.awardTitleUniversity of Manitoba Graduate Fellowship
project.funder.nameUniversity of Manitoba
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