Automatic environmental noise source classification model using fuzzy logic

Uzkent, Burak; Barkana, Buket D.; Yang, Jidong

doi:10.1016/j.eswa.2011.01.084

Cited by 15 publications

(2 citation statements)

References 23 publications

(22 reference statements)

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“…In previous studies, the uncertainty theory has been referred to as a medium in order to study the uncertainty problem which always involves subjective evaluation. Here, a few applications have been carried out especially in uncertainty programming that involves mathematical programming where it involves uncertainty variables (Boverie et al, 1993;Uzkent et al, 2011). The uncertainty theory is a mathematical field that depends on the normality and product measure axioms that originally represent a set of uncertainty functions that have a value in the set in the uncertainty space (Zadeh, 1965(Zadeh, , 2005.…”

Section: Evaluation Of Acoustical Comfort Based On Fuzzy Set Theorymentioning

confidence: 99%

A novel hybrid fuzzy nonlinear weighted goal programming for optimising interior acoustics level in car cabin

Nopiah

Junoh

Ariffin

2013

Journal of Vibration and Control

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The factors that are normally considered by customers for comfortable driving upon purchasing a car are acoustical comfort and exposed vibration. Keeping this in mind, the level of noise annoyance in reference to the vehicle acoustical comfort index is proposed. This index can be categorized by five states which are generally used in the computation that involve acoustical levels in the car cabin. This study is carried out in order to improve this index by classifying and categorizing these five states using the fuzzy set theory approach. Besides, identified sources of vibration are usually linked with engine transmission and tire-road interaction. This study includes the observation on the effects of the vibration due to tire interaction with the road, as well as the pattern of the trends toward the experienced noise against the engine speed [rpm] at both stationary and non-stationary positions. A combination of fuzzy set theory and nonlinear programming has been employed to develop a multi-objective model of hybrid fuzzy nonlinear weighted goal programming. This developed model adopts the results that have been provided in order to optimize the acoustics level by referring to the vibration level which is required at a certain value of the engine speed [rpm]. The proposed model has a significant impact towards a better environment, in the perspective of acoustics – a key factor in vehicle manufacturing process.

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Section: Evaluation Of Acoustical Comfort Based On Fuzzy Set Theorymentioning

confidence: 99%

A novel hybrid fuzzy nonlinear weighted goal programming for optimising interior acoustics level in car cabin

Nopiah

Junoh

Ariffin

2013

Journal of Vibration and Control

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“…Normally, in the engineering field, fuzzy logic is usually used in the fuzzy system to solve some problems which involve the classification of the parameters of the states, range and also difference (Uzkent et al, 2011;Boverie et al, 1993;Yoshimura et al, 1994). In order to use a pure fuzzy system in noise annoyance classification, a simple method is used to add the fuzzifier and defuzzifier in the system.…”

Section: Noise Annoyance Fuzzy Indexmentioning

confidence: 99%

Noise annoyance fuzzy index in passenger car cabin

Nopiah

Junoh

Ariffin

2013

IJVNV

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Vehicle acoustical comfort and vibration in passenger car cabin are the factors which attract buyers to a vehicle, in order to have a comfortable driving environment. The comfort of the driving will affect the driver by influencing their driving performance. Vehicle acoustical comfort index (VACI) has been introduced to represent the level of annoyance in passenger car cabin. This index has been used in the computation related to the acoustics aspect in the car cabin. Noise annoyance is categorised into five states: most annoying, medium annoying, marginal, medium pleasant and most pleasant. In order to improve the VACI index, this study carries out an approach to classify and categorise the aforementioned five states using the fuzzy set theory approach. At the end of several studies, the noise annoyance fuzzy index (NAFI) has been introduced. By using NAFI, automotive researchers will be able to classify and make judgement about the state of annoyance from the exposed noise in the car cabin numerically, where the use of this index is regarded to be more precise and has practically been used in engineering fields especially where the fuzzy logic system is concerned.

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Convergence of knowledge, nature and computations: a review

Pandey

Nandi

2014

Soft Comput

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Automatic environmental noise source classification model using fuzzy logic

Cited by 15 publications

References 23 publications

A novel hybrid fuzzy nonlinear weighted goal programming for optimising interior acoustics level in car cabin

A novel hybrid fuzzy nonlinear weighted goal programming for optimising interior acoustics level in car cabin

Noise annoyance fuzzy index in passenger car cabin

Convergence of knowledge, nature and computations: a review

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