Vehicle acoustics has been found to have a direct impact on customer experience. Unexpected noises play a role in this experience. Hydraulic engine mount cavitation, the noise heard from the collapse of vapor bubbles in the mount, is considered one of those unexpected noises. During the design phase of a vehicle when an unexpected noise is found there is a need for a method to quantify how much of the noise is too much. Subjective evaluations alone are not enough due to variability from engineer to engineer. An objective way needed to be developed in order to evaluate the cavitation noise. To address this issue, an objective predictor metric of annoyance was developed. The model was developed by comparing psychoacoustic metrics to subjective ratings by means of regression analysis. Once the psychoacoustic metrics were chosen multiple regression analysis was used to develop the predictor metric.
","abstract_html":"<p>Vehicle acoustics has been found to have a direct impact on customer experience. Unexpected noises play a role in this experience. Hydraulic engine mount cavitation, the noise heard from the collapse of vapor bubbles in the mount, is considered one of those unexpected noises. During the design phase of a vehicle when an unexpected noise is found there is a need for a method to quantify how much of the noise is too much. Subjective evaluations alone are not enough due to variability from engineer to engineer. An objective way needed to be developed in order to evaluate the cavitation noise. To address this issue, an objective predictor metric of annoyance was developed. The model was developed by comparing psychoacoustic metrics to subjective ratings by means of regression analysis. Once the psychoacoustic metrics were chosen multiple regression analysis was used to develop the predictor metric.</p>","abstract_has_math":false,"creators":["Powell, John"],"institution":null,"degree_name":"Master of Science in Applied Engineering (M.S.A.E.)","degree_level":"Thesis (open access)","degree_discipline":"Department of Mechanical Engineering","degree_department":null,"school":null,"contributors":["Aniruddha Mitra","Biswanath Samanta"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-01T08:00:00Z","date_published":"2015-01-01T08:00:00Z","updated_at":"2026-07-24T02:28:22Z","subjects":["ETD","Hydraulic engine mount","Cavitation","Psychoacoustic metrics","Regression analysis","Automotive Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.georgiasouthern.edu/etd/1322","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Aniruddha Mitra","Biswanath Samanta"]},{"key":"dc:creator","label":"Author","values":["Powell, John"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-07-06T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis (open access)"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Applied Engineering (M.S.A.E.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["ETD","Hydraulic engine mount","Cavitation","Psychoacoustic metrics","Regression analysis","Automotive Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.georgiasouthern.edu/etd/1322"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Vehicle acoustics has been found to have a direct impact on customer experience. Unexpected noises play a role in this experience. Hydraulic engine mount cavitation, the noise heard from the collapse of vapor bubbles in the mount, is considered one of those unexpected noises. During the design phase of a vehicle when an unexpected noise is found there is a need for a method to quantify how much of the noise is too much. Subjective evaluations alone are not enough due to variability from engineer to engineer. An objective way needed to be developed in order to evaluate the cavitation noise. To address this issue, an objective predictor metric of annoyance was developed. The model was developed by comparing psychoacoustic metrics to subjective ratings by means of regression analysis. Once the psychoacoustic metrics were chosen multiple regression analysis was used to develop the predictor metric.
"]},{"key":"dc:title","label":"Title","values":["Objective Predictor metric of Annoyance for Hydraulic Engine Mount Cavitation"]}]}],"canonical_facts":{"dc:contributor":["Aniruddha Mitra","Biswanath Samanta"],"dc:creator":["Powell, John"],"dc:date.available":["2015-07-06T07:00:00Z"],"dc:description.abstract":["Vehicle acoustics has been found to have a direct impact on customer experience. Unexpected noises play a role in this experience. Hydraulic engine mount cavitation, the noise heard from the collapse of vapor bubbles in the mount, is considered one of those unexpected noises. During the design phase of a vehicle when an unexpected noise is found there is a need for a method to quantify how much of the noise is too much. Subjective evaluations alone are not enough due to variability from engineer to engineer. An objective way needed to be developed in order to evaluate the cavitation noise. To address this issue, an objective predictor metric of annoyance was developed. The model was developed by comparing psychoacoustic metrics to subjective ratings by means of regression analysis. Once the psychoacoustic metrics were chosen multiple regression analysis was used to develop the predictor metric.
"],"dc:identifier":["https://digitalcommons.georgiasouthern.edu/etd/1322"],"dc:subject":["ETD","Hydraulic engine mount","Cavitation","Psychoacoustic metrics","Regression analysis","Automotive Engineering"],"dc:title":["Objective Predictor metric of Annoyance for Hydraulic Engine Mount Cavitation"],"thesis:degree_discipline":["Department of Mechanical Engineering"],"thesis:degree_level":["Thesis (open access)"],"thesis:degree_name":["Master of Science in Applied Engineering (M.S.A.E.)"]},"updated_at":"2026-07-24T02:28:22Z"}