Particle emissions from Heavy Duty Diesel Vehicles (HDDVs) are currently measured by opacity or dynamometer gravimetric analysis. The Electronic Tailpipe Particle Sensor (ETaPS) is an inexpensive measurement device purported to give real time response to particle mass and was proposed as a possible addition to Inspection/Maintenance (I/M) programs. There were three goals to this study. The first was to verify ETaPS response to particle mass of HDDV exhaust. Integrated ETaPS signal was plotted against filter weight from dynamometer gravimetric analysis and a correlation was found. The second goal was to find a correlation between ETaPS readings and the Remote Sensing Detector (RSD). These tests were invalidated due to interference from power lines greatly affecting the ETaPS signal. The final goal was to find a relationship between the RSD and the dynamometer gravimetric analysis. Comparisons were made from averaged RSD smoke data, and averaged gravimetric data for each HDDV undergoing both tests. A measurable difference was found for RSD smoke readings between Diesel Particle Filter (DPF) equipped vs. non-DPF and DPF bypassed HDDVs.
","abstract_html":"<p>Particle emissions from Heavy Duty Diesel Vehicles (HDDVs) are currently measured by opacity or dynamometer gravimetric analysis. The Electronic Tailpipe Particle Sensor (ETaPS) is an inexpensive measurement device purported to give real time response to particle mass and was proposed as a possible addition to Inspection/Maintenance (I/M) programs. There were three goals to this study. The first was to verify ETaPS response to particle mass of HDDV exhaust. Integrated ETaPS signal was plotted against filter weight from dynamometer gravimetric analysis and a correlation was found. The second goal was to find a correlation between ETaPS readings and the Remote Sensing Detector (RSD). These tests were invalidated due to interference from power lines greatly affecting the ETaPS signal. The final goal was to find a relationship between the RSD and the dynamometer gravimetric analysis. Comparisons were made from averaged RSD smoke data, and averaged gravimetric data for each HDDV undergoing both tests. A measurable difference was found for RSD smoke readings between Diesel Particle Filter (DPF) equipped vs. non-DPF and DPF bypassed HDDVs.</p>","abstract_has_math":false,"creators":["Pope, Daniel Joseph"],"institution":null,"degree_name":"M.S.","degree_level":"Masters Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Donald H. Stedman, Ph.D.","Andrei Kutateladze","Gareth Eaton","Susan Sadler"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-01-01T08:00:00Z","date_published":"2010-01-01T08:00:00Z","updated_at":"2026-07-24T02:02:30Z","subjects":["Electronic tailpipe particle sensor","Particle matter","Remote sensing detector","Chemistry","Materials Chemistry"],"languages":["en"],"rights":["Copyright is held by the author. User is responsible for all copyright compliance.
"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.du.edu/etd/521","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Donald H. Stedman, Ph.D.","Andrei Kutateladze","Gareth Eaton","Susan Sadler"]},{"key":"dc:creator","label":"Author","values":["Pope, Daniel Joseph"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2001-01-01T08:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electronic tailpipe particle sensor","Particle matter","Remote sensing detector","Chemistry","Materials Chemistry"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright is held by the author. User is responsible for all copyright compliance.
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"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Particle Matter Measurements for Inspection/Maintenance Programs"]}]}],"canonical_facts":{"dc:contributor":["Donald H. Stedman, Ph.D.","Andrei Kutateladze","Gareth Eaton","Susan Sadler"],"dc:creator":["Pope, Daniel Joseph"],"dc:date.available":["2001-01-01T08:00:00Z"],"dc:description.abstract":["Particle emissions from Heavy Duty Diesel Vehicles (HDDVs) are currently measured by opacity or dynamometer gravimetric analysis. The Electronic Tailpipe Particle Sensor (ETaPS) is an inexpensive measurement device purported to give real time response to particle mass and was proposed as a possible addition to Inspection/Maintenance (I/M) programs. There were three goals to this study. The first was to verify ETaPS response to particle mass of HDDV exhaust. Integrated ETaPS signal was plotted against filter weight from dynamometer gravimetric analysis and a correlation was found. The second goal was to find a correlation between ETaPS readings and the Remote Sensing Detector (RSD). These tests were invalidated due to interference from power lines greatly affecting the ETaPS signal. The final goal was to find a relationship between the RSD and the dynamometer gravimetric analysis. Comparisons were made from averaged RSD smoke data, and averaged gravimetric data for each HDDV undergoing both tests. A measurable difference was found for RSD smoke readings between Diesel Particle Filter (DPF) equipped vs. non-DPF and DPF bypassed HDDVs.
"],"dc:format":["application/pdf"],"dc:identifier":["https://digitalcommons.du.edu/etd/521"],"dc:language":["en"],"dc:rights":["Copyright is held by the author. User is responsible for all copyright compliance.
"],"dc:subject":["Electronic tailpipe particle sensor","Particle matter","Remote sensing detector","Chemistry","Materials Chemistry"],"dc:title":["Particle Matter Measurements for Inspection/Maintenance Programs"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["M.S."]},"updated_at":"2026-07-24T02:02:30Z"}