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contributor authorMomeni Movahed, Mohammad
contributor authorBasirat Tabrizi, Hassan
contributor authorMostafa Agha Mirsalim, Seyed
date accessioned2017-05-09T01:28:32Z
date available2017-05-09T01:28:32Z
date issued2016
identifier issn1528-8919
identifier othergtp_138_06_061501.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/161103
description abstractProcessing the knock sensor's signal is the most common approach for knock detection in series production vehicles. Filtration, rectification, and integration in a defined knock window (KW) are main steps to compute the standard knock intensity (SKI). The SKI strongly depends on the engine operating conditions. In this study, a novel model is proposed based on the knock sensor analysis to determine the normalized knock intensity (NKI) with much less dependency on the operating conditions, cylinder numbers (CNs), and KW. Implementing the proposed normalization model, a fixed detection threshold can be used for knock detection at all operating conditions. To verify the model, an accurate knock detection method based on cylinder pressure analysis is utilized, which comprises intensity calculation and a novel technique for detection threshold determination. Experimental results at all operating conditions show a square of correlation coefficient greater than 0.7 when the knock intensity from the presented model is compared with the reference cylinder pressure based method. In addition, the model detects all heavy knocking cycles and there is no wrongly detected knocking combustion.
publisherThe American Society of Mechanical Engineers (ASME)
titleNormalized Knock Intensity Determination Based on the Knock Sensor Analysis to Have a Fixed Detection Threshold at Different Operating Conditions
typeJournal Paper
journal volume138
journal issue6
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4031789
journal fristpage61501
journal lastpage61501
identifier eissn0742-4795
treeJournal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 006
contenttypeFulltext


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