Engine tail pipe particulate emissions and fault detection using an ion current sensor

Rahul Rao; Damon Honnery

Engine tail pipe particulate emissions and fault detection using an ion current sensor

Rahul Rao, Damon Honnery

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

1 Citation (Scopus)

Abstract

This paper explores the possibility of the use of an ion current sensor to detect faults in engine combustion processes related to particulate emissions. The paper begins by showing a causal relationship between the signal measured by an ion current sensor and particulate formation. Because of the electrical conductivity of the particulate, a deposition mechanism is proposed as being the cause. The change in ion current signal is shown to be sufficiently sensitive for it to be used to detect faults in fuel injectors and exhaust treatment systems, which give rise to enhanced particulate production.

Original language	English
Title of host publication	Proceedings of the 11th Asia-Pacific Conference on Combustion, ASPACC 2017
Publication status	Published - 2017
Event	Asia Pacific Conference on Combustion 2017 - Sydney, Australia Duration: 10 Dec 2017 → 14 Dec 2017 Conference number: 11th http://www.anz-combustioninstitute.org/ASPACC2017/

Conference

Conference	Asia Pacific Conference on Combustion 2017
Abbreviated title	ASPACC 2017
Country/Territory	Australia
City	Sydney
Period	10/12/17 → 14/12/17
Internet address	http://www.anz-combustioninstitute.org/ASPACC2017/

Cite this

@inproceedings{217c377a5239488d9651495d9bcb624c,

title = "Engine tail pipe particulate emissions and fault detection using an ion current sensor",

abstract = "This paper explores the possibility of the use of an ion current sensor to detect faults in engine combustion processes related to particulate emissions. The paper begins by showing a causal relationship between the signal measured by an ion current sensor and particulate formation. Because of the electrical conductivity of the particulate, a deposition mechanism is proposed as being the cause. The change in ion current signal is shown to be sufficiently sensitive for it to be used to detect faults in fuel injectors and exhaust treatment systems, which give rise to enhanced particulate production.",

author = "Rahul Rao and Damon Honnery",

year = "2017",

language = "English",

booktitle = "Proceedings of the 11th Asia-Pacific Conference on Combustion, ASPACC 2017",

note = "Asia Pacific Conference on Combustion 2017, ASPACC 2017 ; Conference date: 10-12-2017 Through 14-12-2017",

url = "http://www.anz-combustioninstitute.org/ASPACC2017/",

}

TY - GEN

T1 - Engine tail pipe particulate emissions and fault detection using an ion current sensor

AU - Rao, Rahul

AU - Honnery, Damon

N1 - Conference code: 11th

PY - 2017

Y1 - 2017

N2 - This paper explores the possibility of the use of an ion current sensor to detect faults in engine combustion processes related to particulate emissions. The paper begins by showing a causal relationship between the signal measured by an ion current sensor and particulate formation. Because of the electrical conductivity of the particulate, a deposition mechanism is proposed as being the cause. The change in ion current signal is shown to be sufficiently sensitive for it to be used to detect faults in fuel injectors and exhaust treatment systems, which give rise to enhanced particulate production.

AB - This paper explores the possibility of the use of an ion current sensor to detect faults in engine combustion processes related to particulate emissions. The paper begins by showing a causal relationship between the signal measured by an ion current sensor and particulate formation. Because of the electrical conductivity of the particulate, a deposition mechanism is proposed as being the cause. The change in ion current signal is shown to be sufficiently sensitive for it to be used to detect faults in fuel injectors and exhaust treatment systems, which give rise to enhanced particulate production.

UR - https://www.scopus.com/pages/publications/85046428465

M3 - Conference Paper

AN - SCOPUS:85046428465

BT - Proceedings of the 11th Asia-Pacific Conference on Combustion, ASPACC 2017

T2 - Asia Pacific Conference on Combustion 2017

Y2 - 10 December 2017 through 14 December 2017

ER -

Engine tail pipe particulate emissions and fault detection using an ion current sensor

Abstract

Conference

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