Identification of power output of diesel engine by analysis of the vibration signal

Power output is one of the main working parameters of a diesel engine, which not only reflects its dynamic performance but also acts as an important indicator of its operating state. At present, diesel engine power monitoring mainly depends on dynamometers, but most engines cannot be so equipped dur...

Full description

Bibliographic Details
Main Authors: Zhilong Gao, Zhinong Jiang, Jinjie Zhang
Format: Article
Language:English
Published: SAGE Publishing 2019-11-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294019866851
id doaj-8cef59fd0ff84d28a0cec58a0d6b60d7
record_format Article
spelling doaj-8cef59fd0ff84d28a0cec58a0d6b60d72020-11-25T03:54:35ZengSAGE PublishingMeasurement + Control0020-29402019-11-015210.1177/0020294019866851Identification of power output of diesel engine by analysis of the vibration signalZhilong GaoZhinong JiangJinjie ZhangPower output is one of the main working parameters of a diesel engine, which not only reflects its dynamic performance but also acts as an important indicator of its operating state. At present, diesel engine power monitoring mainly depends on dynamometers, but most engines cannot be so equipped during operation. In addition, other techniques, such as in-cylinder pressure measurements used to gauge power output are invasive and have higher requirements for sealing and reliability. Therefore, it is important to study other means for achieving real-time monitoring of engine power that do not damage the engine. In this paper, we use the vibration acceleration of the combustion phase in the angle domain as the original signal to identify the output power. However, the signal contains many interference signals and must be pre-processed by purification techniques such as filtering, de-noising and empirical mode decomposition. Finally, the automatic identification of the power of a diesel engine is realized by means of inductive monitoring system algorithms. The test results show that the recognition accuracy under the five different working loads ranges between 83% and 95%, which demonstrates the effectiveness of the proposed method.https://doi.org/10.1177/0020294019866851
collection DOAJ
language English
format Article
sources DOAJ
author Zhilong Gao
Zhinong Jiang
Jinjie Zhang
spellingShingle Zhilong Gao
Zhinong Jiang
Jinjie Zhang
Identification of power output of diesel engine by analysis of the vibration signal
Measurement + Control
author_facet Zhilong Gao
Zhinong Jiang
Jinjie Zhang
author_sort Zhilong Gao
title Identification of power output of diesel engine by analysis of the vibration signal
title_short Identification of power output of diesel engine by analysis of the vibration signal
title_full Identification of power output of diesel engine by analysis of the vibration signal
title_fullStr Identification of power output of diesel engine by analysis of the vibration signal
title_full_unstemmed Identification of power output of diesel engine by analysis of the vibration signal
title_sort identification of power output of diesel engine by analysis of the vibration signal
publisher SAGE Publishing
series Measurement + Control
issn 0020-2940
publishDate 2019-11-01
description Power output is one of the main working parameters of a diesel engine, which not only reflects its dynamic performance but also acts as an important indicator of its operating state. At present, diesel engine power monitoring mainly depends on dynamometers, but most engines cannot be so equipped during operation. In addition, other techniques, such as in-cylinder pressure measurements used to gauge power output are invasive and have higher requirements for sealing and reliability. Therefore, it is important to study other means for achieving real-time monitoring of engine power that do not damage the engine. In this paper, we use the vibration acceleration of the combustion phase in the angle domain as the original signal to identify the output power. However, the signal contains many interference signals and must be pre-processed by purification techniques such as filtering, de-noising and empirical mode decomposition. Finally, the automatic identification of the power of a diesel engine is realized by means of inductive monitoring system algorithms. The test results show that the recognition accuracy under the five different working loads ranges between 83% and 95%, which demonstrates the effectiveness of the proposed method.
url https://doi.org/10.1177/0020294019866851
work_keys_str_mv AT zhilonggao identificationofpoweroutputofdieselenginebyanalysisofthevibrationsignal
AT zhinongjiang identificationofpoweroutputofdieselenginebyanalysisofthevibrationsignal
AT jinjiezhang identificationofpoweroutputofdieselenginebyanalysisofthevibrationsignal
_version_ 1724472946668339200