@article{bengtsson_technical_2004,
	title = {Technical design of condition based maintenance system—{A} case study using sound analysis and case-based reasoning},
	abstract = {Productivity is a key weapon for manufacturing companies to stay competitive in a continuous growing global market. Increased productivity can be achieved through increased availability. This has directed focus on different maintenance types and maintenance strategies. Increased availability through efficient maintenance can be achieved through less corrective maintenance actions and more accurate preventive maintenance intervals. Condition Based Maintenance (CBM) is a technology that strives to identify incipient faults before they become critical which enables more accurate planning of the preventive maintenance. CBM can be achieved by utilizing complex technical systems or by humans manually monitoring the condition by using their experience, normally a mixture of both is used. Although CBM holds a lot of benefits compared to other maintenance types it is not yet commonly utilized in industry. One reason for this might be that the maturity level in complex technical CBM system is too low. This paper will acknowledge this possible reason, although not trying to resolve it, but focusing on system technology with component strategy and an open approach to condition parameters as the objective is fulfilled. This paper will theoretically discuss the technical components of a complete CBM system approach and by a case study illustrate how a CBM system for industrial robot fault detection/diagnosis can be designed using the Artificial Intelligence method Case-Based Reasoning and sound analysis. Introduction Industrial competition today is truly global with fragmented markets and customers expecting to get the best product at the best price with immediate availability. Success in manufacturing, and indeed survival, is increasingly more difficult to ensure and it requires continuous development and improvement of the way products are produced. Meeting customer demands require a high degree of flexibility, low-cost/low-volume manufacturing skills, and short delivery times. These demands make manufacturing performance a strategic weapon for competition and future success. This view is supported by Rolstadås who state that many managers believe that the greatest potential for improvement of competitiveness lies in better production management (Rolstadås, 1995).},
	author = {Bengtsson, Marcus and Olsson, Ella and Funk, Peter and Jackson, Mats},
	month = jan,
	year = {2004},
}

{"_id":"rSjRK4NDb9MPXZKjT","bibbaseid":"bengtsson-olsson-funk-jackson-technicaldesignofconditionbasedmaintenancesystemacasestudyusingsoundanalysisandcasebasedreasoning-2004","author_short":["Bengtsson, M.","Olsson, E.","Funk, P.","Jackson, M."],"bibdata":{"bibtype":"article","type":"article","title":"Technical design of condition based maintenance system—A case study using sound analysis and case-based reasoning","abstract":"Productivity is a key weapon for manufacturing companies to stay competitive in a continuous growing global market. Increased productivity can be achieved through increased availability. This has directed focus on different maintenance types and maintenance strategies. Increased availability through efficient maintenance can be achieved through less corrective maintenance actions and more accurate preventive maintenance intervals. Condition Based Maintenance (CBM) is a technology that strives to identify incipient faults before they become critical which enables more accurate planning of the preventive maintenance. CBM can be achieved by utilizing complex technical systems or by humans manually monitoring the condition by using their experience, normally a mixture of both is used. Although CBM holds a lot of benefits compared to other maintenance types it is not yet commonly utilized in industry. One reason for this might be that the maturity level in complex technical CBM system is too low. This paper will acknowledge this possible reason, although not trying to resolve it, but focusing on system technology with component strategy and an open approach to condition parameters as the objective is fulfilled. This paper will theoretically discuss the technical components of a complete CBM system approach and by a case study illustrate how a CBM system for industrial robot fault detection/diagnosis can be designed using the Artificial Intelligence method Case-Based Reasoning and sound analysis. Introduction Industrial competition today is truly global with fragmented markets and customers expecting to get the best product at the best price with immediate availability. Success in manufacturing, and indeed survival, is increasingly more difficult to ensure and it requires continuous development and improvement of the way products are produced. Meeting customer demands require a high degree of flexibility, low-cost/low-volume manufacturing skills, and short delivery times. These demands make manufacturing performance a strategic weapon for competition and future success. This view is supported by Rolstadås who state that many managers believe that the greatest potential for improvement of competitiveness lies in better production management (Rolstadås, 1995).","author":[{"propositions":[],"lastnames":["Bengtsson"],"firstnames":["Marcus"],"suffixes":[]},{"propositions":[],"lastnames":["Olsson"],"firstnames":["Ella"],"suffixes":[]},{"propositions":[],"lastnames":["Funk"],"firstnames":["Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Jackson"],"firstnames":["Mats"],"suffixes":[]}],"month":"January","year":"2004","bibtex":"@article{bengtsson_technical_2004,\n\ttitle = {Technical design of condition based maintenance system—{A} case study using sound analysis and case-based reasoning},\n\tabstract = {Productivity is a key weapon for manufacturing companies to stay competitive in a continuous growing global market. Increased productivity can be achieved through increased availability. This has directed focus on different maintenance types and maintenance strategies. Increased availability through efficient maintenance can be achieved through less corrective maintenance actions and more accurate preventive maintenance intervals. Condition Based Maintenance (CBM) is a technology that strives to identify incipient faults before they become critical which enables more accurate planning of the preventive maintenance. CBM can be achieved by utilizing complex technical systems or by humans manually monitoring the condition by using their experience, normally a mixture of both is used. Although CBM holds a lot of benefits compared to other maintenance types it is not yet commonly utilized in industry. One reason for this might be that the maturity level in complex technical CBM system is too low. This paper will acknowledge this possible reason, although not trying to resolve it, but focusing on system technology with component strategy and an open approach to condition parameters as the objective is fulfilled. This paper will theoretically discuss the technical components of a complete CBM system approach and by a case study illustrate how a CBM system for industrial robot fault detection/diagnosis can be designed using the Artificial Intelligence method Case-Based Reasoning and sound analysis. Introduction Industrial competition today is truly global with fragmented markets and customers expecting to get the best product at the best price with immediate availability. Success in manufacturing, and indeed survival, is increasingly more difficult to ensure and it requires continuous development and improvement of the way products are produced. Meeting customer demands require a high degree of flexibility, low-cost/low-volume manufacturing skills, and short delivery times. These demands make manufacturing performance a strategic weapon for competition and future success. This view is supported by Rolstadås who state that many managers believe that the greatest potential for improvement of competitiveness lies in better production management (Rolstadås, 1995).},\n\tauthor = {Bengtsson, Marcus and Olsson, Ella and Funk, Peter and Jackson, Mats},\n\tmonth = jan,\n\tyear = {2004},\n}\n\n\n\n","author_short":["Bengtsson, M.","Olsson, E.","Funk, P.","Jackson, M."],"key":"bengtsson_technical_2004","id":"bengtsson_technical_2004","bibbaseid":"bengtsson-olsson-funk-jackson-technicaldesignofconditionbasedmaintenancesystemacasestudyusingsoundanalysisandcasebasedreasoning-2004","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["iwKepCrWBps7ojhDx"],"keywords":[],"search_terms":["technical","design","condition","based","maintenance","system","case","study","using","sound","analysis","case","based","reasoning","bengtsson","olsson","funk","jackson"],"title":"Technical design of condition based maintenance system—A case study using sound analysis and case-based reasoning","year":2004}