{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/45342"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/45342","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Motor simulation and parameter identification in a reciprocating mechanism","abstract":"In this study, a slider-crank mechanism driven by an induction motor was studied for the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating mechanism. By analyzing the dynamic motor data, the operating parameters in the mechanism can be identified. The purpose of the reciprocating mechanism analysis was to define an algorithm for the identification of the parameters of mass, damping, spring stiffness, and preload force of the mechanism. The time domain data (e.g. the motor net input torque, the mechanism load torque, the angular velocity, and angular acceleration, etc.) of the mechanism from a simulation can be related through the use of Newton’s dynamic motion equation. By transforming the time domain data into frequency domain spectra and using a least squares algorithm, the mechanism parameters can be estimated. The results show that the calculated mass and stiffness can be accurately solved to within 1%. While the damping and preload force may be solved within 2% and 4% respectively. The results also confirm that the separation of the load torque signal can be used in the solution technique. That is, the load torque signal of the mechanism is an arithmetic sum of the contribution of mass, damping, spring stiffness, and preload force. The identification method of the above parameters could lead to an advancement in machine diagnosis in the future, since the operating parameters in a reciprocating machine are greatly related to an impending machine failure.","abstract_html":"In this study, a slider-crank mechanism driven by an induction motor was studied for the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating mechanism. By analyzing the dynamic motor data, the operating parameters in the mechanism can be identified. The purpose of the reciprocating mechanism analysis was to define an algorithm for the identification of the parameters of mass, damping, spring stiffness, and preload force of the mechanism. The time domain data (e.g. the motor net input torque, the mechanism load torque, the angular velocity, and angular acceleration, etc.) of the mechanism from a simulation can be related through the use of Newton’s dynamic motion equation. By transforming the time domain data into frequency domain spectra and using a least squares algorithm, the mechanism parameters can be estimated. The results show that the calculated mass and stiffness can be accurately solved to within 1%. While the damping and preload force may be solved within 2% and 4% respectively. The results also confirm that the separation of the load torque signal can be used in the solution technique. That is, the load torque signal of the mechanism is an arithmetic sum of the contribution of mass, damping, spring stiffness, and preload force. The identification method of the above parameters could lead to an advancement in machine diagnosis in the future, since the operating parameters in a reciprocating machine are greatly related to an impending machine failure.","abstract_has_math":false,"creators":["Tang, Yun-chung"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Mechanical Engineering","degree_department":"Mechanical Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1991,"date_issued":"1991","date_published":"1991","updated_at":"2026-07-22T22:19:41Z","subjects":[],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-10312009-020104"],"render_values":[{"text":"etd-10312009-020104","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/45342","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Mechanical Engineering"]},{"key":"dc:creator","label":"Author","values":["Tang, Yun-chung"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T21:48:19Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T21:48:19Z","2009-10-31"]},{"key":"dc:date.issued","label":"Date","values":["1991"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-10312009-020104"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/45342"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this study, a slider-crank mechanism driven by an induction motor was studied for the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating mechanism. By analyzing the dynamic motor data, the operating parameters in the mechanism can be identified. The purpose of the reciprocating mechanism analysis was to define an algorithm for the identification of the parameters of mass, damping, spring stiffness, and preload force of the mechanism. The time domain data (e.g. the motor net input torque, the mechanism load torque, the angular velocity, and angular acceleration, etc.) of the mechanism from a simulation can be related through the use of Newton’s dynamic motion equation. By transforming the time domain data into frequency domain spectra and using a least squares algorithm, the mechanism parameters can be estimated. The results show that the calculated mass and stiffness can be accurately solved to within 1%. While the damping and preload force may be solved within 2% and 4% respectively. The results also confirm that the separation of the load torque signal can be used in the solution technique. That is, the load torque signal of the mechanism is an arithmetic sum of the contribution of mass, damping, spring stiffness, and preload force. The identification method of the above parameters could lead to an advancement in machine diagnosis in the future, since the operating parameters in a reciprocating machine are greatly related to an impending machine failure."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["BTD"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Motor simulation and parameter identification in a reciprocating mechanism"]}]}],"canonical_facts":{"dc:contributor.department":["Mechanical Engineering"],"dc:creator":["Tang, Yun-chung"],"dc:date.accessioned":["2014-03-14T21:48:19Z"],"dc:date.available":["2014-03-14T21:48:19Z","2009-10-31"],"dc:date.issued":["1991"],"dc:description.abstract":["In this study, a slider-crank mechanism driven by an induction motor was studied for the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating mechanism. By analyzing the dynamic motor data, the operating parameters in the mechanism can be identified. The purpose of the reciprocating mechanism analysis was to define an algorithm for the identification of the parameters of mass, damping, spring stiffness, and preload force of the mechanism. The time domain data (e.g. the motor net input torque, the mechanism load torque, the angular velocity, and angular acceleration, etc.) of the mechanism from a simulation can be related through the use of Newton’s dynamic motion equation. By transforming the time domain data into frequency domain spectra and using a least squares algorithm, the mechanism parameters can be estimated. The results show that the calculated mass and stiffness can be accurately solved to within 1%. While the damping and preload force may be solved within 2% and 4% respectively. The results also confirm that the separation of the load torque signal can be used in the solution technique. That is, the load torque signal of the mechanism is an arithmetic sum of the contribution of mass, damping, spring stiffness, and preload force. The identification method of the above parameters could lead to an advancement in machine diagnosis in the future, since the operating parameters in a reciprocating machine are greatly related to an impending machine failure."],"dc:description.degree":["Master of Science"],"dc:format.medium":["BTD"],"dc:format.mimetype":["application/pdf"],"dc:identifier.other":["etd-10312009-020104"],"dc:identifier.uri":["http://hdl.handle.net/10919/45342"],"dc:language.iso":["en"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:title":["Motor simulation and parameter identification in a reciprocating mechanism"],"dc:type":["Thesis"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:41Z"}