Offline detection of broken rotor bars in AC induction motors
| dc.contributor.author | Powers, Craig Stephen, author | |
| dc.contributor.author | Collins, George J., advisor | |
| dc.contributor.author | Reising, Steven C., committee member | |
| dc.contributor.author | Sakurai, Hiroshi, committee member | |
| dc.date.accessioned | 2016-01-11T15:14:04Z | |
| dc.date.available | 2016-01-11T15:14:04Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | The detection of the broken rotor bar defect in medium- and large-sized AC induction machines is currently one of the most difficult tasks for the motor condition and monitoring industry. If a broken rotor bar defect goes undetected, it can cause a catastrophic failure of an expensive machine. If a broken rotor bar defect is falsely determined, it wastes time and money to physically tear down and inspect the machine only to find an incorrect diagnosis. Previous work in 2009 at Baker/SKF-USA in collaboration with the Korea University has developed a prototype instrument that has been highly successful in correctly detecting the broken rotor bar defect in ACIMs where other methods have failed. Dr. Sang Bin and his students at the Korea University have been using this prototype instrument to help the industry save money in the successful detection of the BRB defect. A review of the current state of motor conditioning and monitoring technology for detecting the broken rotor bar defect in ACIMs shows improved detection of this fault is still relevant. An analysis of previous work in the creation of this prototype instrument leads into the refactoring of the software and hardware into something more deployable, cost effective and commercially viable. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Powers_colostate_0053N_13391.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/170414 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | AC | |
| dc.subject | fault | |
| dc.subject | induction | |
| dc.subject | motor | |
| dc.subject | offline | |
| dc.subject | rotor | |
| dc.title | Offline detection of broken rotor bars in AC induction motors | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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