Noise Control Engineering Journal Impact Factor & Information

Publisher: Institute of Noise Control Engineering; Acoustical Society of America

Journal description

Noise Control Engineering Journal is the technical publication of the Institute of Noise Control Engineering. NCEJ is issued bimonthly, and contains technical articles on all aspects of noise control engineering.

Current impact factor: 0.46

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 0.462
2012 Impact Factor 0.315
2011 Impact Factor 0.223
2010 Impact Factor 0.245
2009 Impact Factor 0.138
2008 Impact Factor 0.167
2007 Impact Factor 0.317
2006 Impact Factor 0.186
2005 Impact Factor 0.17
2004 Impact Factor 0.175
2003 Impact Factor 0.304
2002 Impact Factor 0.07
2001 Impact Factor 0.121
2000 Impact Factor 0.197
1999 Impact Factor 0.241
1998 Impact Factor 0.115
1997 Impact Factor 0.204

Impact factor over time

Impact factor

Additional details

5-year impact 0.33
Cited half-life 9.80
Immediacy index 0.09
Eigenfactor 0.00
Article influence 0.14
Website Noise Control Engineering Journal (NCEJ) website
Other titles Noise control engineering journal
ISSN 0736-2501
OCLC 8974064
Material type Periodical
Document type Journal / Magazine / Newspaper

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: A new spectral-based multi-substructure theory is formulated to compute the frequency responses of mechanical systems that are subdivided into multiple inter-connected substructures. The proposed approach employs the free substructure frequency response functions at the coupling, response and excitation coordinates of interest to construct the complete system model using a single efficient coupling step. Even though this proposed approach is conceptually similar to the conventional transfer path analysis, it is more extensive because of the capability to analyze structural systems with arbitrary numbers of substructures and coupling coordinates. Hence, the proposed methodology can be applied to treat complex multi-substructure mechanical structures commonly found in automotive and aerospace systems. In the present study, several lumped parameters mass-spring-damper systems are analyzed to validate the proposed theory. The comparison results show excellent agreement between the multi-substructure predictions and the single complete system calculations.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376312
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    ABSTRACT: This paper describes recent occurrences of noise ordinance overhauls in central Florida for the City of Winter Springs and Hillsborough County, Florida. In each case, the existing Lmax based ordinances had proven over the years to be ineffective and were not serving their communities. These noise ordinances were similar to many found across the U.S. but were not reliable methods of determining community noise violators that warranted action. This paper explains the methodology used to produce a “performance based” noise ordinance that meets the needs of both the community and local personnel responsible for enforcement.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376311
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    ABSTRACT: An experimental-analytical procedure was implemented to reduce the operating noise level of a nail gun, a commonly found power tool in a construction site. The procedure is comprised of preliminary measurements, identification and ranking of major noise sources and application of noise controls. Preliminary measurements show that the impact noise transmitted through the structure and the exhaust related noise were found to be the first and second major contributors. Applying a noise absorbing foam on the outside of the nail gun body was found to be an effective noise reduction technique. One- and two-volume small mufflers were designed and applied to the exhaust side of the nail gun which reduced not only the exhaust noise but also the impact noise. It was shown that the overall noise level could be reduced by as much as 3.5 dB, suggesting that significant noise reduction is possible in construction power tools without any significant increase of the cost.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376315
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    ABSTRACT: A kind of phononic crystal shaft with piezoelectric ceramic circular rings is proposed in this paper. Based on the wave equation, the propagating characteristics of torsional wave are calculated by the transfer matrix method. The torsional wave band structures of infinite piezoelectric phononic crystal shaft (PPC shaft) and transmission curves of finite PPC shaft are analyzed, then simulations are carried out to verify the theoretical results by using ANSYS software. Furthermore, the effects of outer active control on the torsional wave band gaps are considered by changing feedback control gains. The influences of the ratios of length and cross-sectional area on the band gaps are also discussed in detail. Results show that there exist band gaps of torsional vibration in this special PPC shaft and the width together with the position of the band gaps can be adjusted effectively by varying structural parameters and outer active control gains.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376319
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    ABSTRACT: The paper analyzes the long-term noise monitoring data using the AutoRegressive Integrated Moving Average (ARIMA) modeling technique. Box-Jenkins ARIMA approach has been adapted to simulate the daily mean LDay (06-22 h) and LNight (22-06 h) in A- and C-weightings in conjunction with single-noise metrics, day-night average sound level (DNL) for a period of 6 months. The autocorrelation function (ACF) and partial autocorrelation function (PACF) have been obtained to find suitable orders of autoregressive (p) and moving average (q) parameters for ARIMA (p, d, q) models so developed for all the single-noise metrics. The ARIMA models, namely, ARIMA(0,0,14), ARIMA(0,1,1), ARIMA(7,0,0), ARIMA(1,0,0) and ARIMA(0,1,14), have been developed as the most suitable for simulating and forecasting the daily mean LDay dBA, LNight dBA, LDay dBC, LNight dBC, and day-night average sound level (DNL) respectively. The performance of the model so developed is ascertained using the statistical tests. The work reveals that the ARIMA approach is reliable for time-series modeling of traffic noise levels.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376317
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    ABSTRACT: Amplitude modulation of noise from a single turbine is considered. Description of the amplitude modulation depth (AMD) is based on three fundamental findings: at distances greater than 500 meters, AMD depends mainly on the wind profile and blade angle of attack and does not vary significantly with the distance. The primary result of this study is the relationship between AMD and the sum of the blade pitch angle and the blade twist when the stall effect occurs. Reduction of AMD by blade pitch control seems to be possible.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376318
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    ABSTRACT: The demand for motorcycles has seen steady growth in recent years. For motorcycles, as well as automobiles in general, sound quality (SQ) is one of the important factors affecting riding comfort. Thus, as with the wider field of automobile manufacturing, motorcycle manufacturers regard SQ-based noise control as a useful tool for improving competitiveness and popularity in the global commercial market. Among the numerous parts of a motorcycle, the exhaust system is the key to determining the SQ, as well as its performance. In this study, the distribution of the exhaust noise energy of a cruiser type of motorcycle in the frequency domain was proposed to improve its SQ. To this end, the audible frequency range was divided into three bands based on its effect on the perceptual feeling described as pleasant. To obtain a desirable energy distribution, a subjective listening experiment based on a semantic differential method was conducted with the modified exhaust noises by changing the band level of each division of the frequency band. A hierarchical clustering analysis and factor analysis were applied to the results of the subjective experiment in order to determine the relation between the subjective feeling and the variation in the spectral shapes of the exhaust noises. The results showed that perceptual feelings described as pleasant, expensive, and classic were strongly influenced by a change in the band level in the low-frequency range below 300 Hz, whereas the hard and crispy perceptions were influenced in the high-frequency range above 1 kHz. To quantitatively represent such situations, the energy ratio and partial-loudness ratio representing the energy balance were defined and calculated. Finally, it was found that a larger energy ratio or partial-loudness ratio resulted in a better SQ for the exhaust noise of the cruiser type of motorcycle.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376316
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    ABSTRACT: Sound quality analysis is a process that is used to study subjective perception of the functionality or preference of a product based on the sound that it makes. Paired comparison jury testing is often used to understand preference on a pairwise basis and map the results onto an interval scale using a Bradley-Terry model. This provides a merit score for each of the sounds used in the study. A statistical model, such as multiple linear regression (MLR), is then used to model the merit score using objective metrics. This statistical model, or preference equation, then allows the results of the jury testing to be generalized for use with other sounds. One drawback of this approach is the necessity to assume the form of the preference prior to applying the statistical model and the requirement of the Bradley-Terry model for a full and balanced jury study. The present paper proposes a method of using a nested artificial neural network (nested ANN) to learn the paired preferences directly. The nested ANN architecture can uncover non-linear preferences and does not require a full and balanced jury study. The nested ANN model is applied to real golf club jury study results to identify the presence of a non-linear preference for the pitch of the ball impact sound. The paper concludes by demonstrating how the nested ANN model can be simplified to ease interpretation of the preference model and provide a means of optimizing the sound quality in the context of active noise control for sound quality.
    Noise Control Engineering Journal 03/2015; 63(2). DOI:10.3397/1/376313
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    ABSTRACT: In typical household refrigeration systems, the compressor is structurally connected with the cabinet through an assembly composed of rubber mounts and a steel support plate, usually called the base-plate. This plate works as a vibration energy path from the compressor to other refrigerator components, and its dynamic behavior must be known to avoid the coincidence of operational and resonant frequencies, a situation in which the energy flow is maximized. One way to design a support that satisfies this requirement is to optimize the shape of the plate by locating its structural modes as far as possible from the operational frequency and its first harmonics. In this work, the finite element method (FEM) is used to solve the eigenvalue problem and to parameterize the optimization procedure, which is based on positioning of the nodes of a design region (plate) in an FEM-simplified model. Owing to the large number of variables, a gradient-based method is adopted. The objective of the methodology is to maximize the difference between two adjacent eigenvalues near the fundamental operation frequency of the compressor in order to obtain a large and effective bandgap. A geometrical constraint is imposed on the problem and it is represented by the maximum allowable deformation of the plate. The gradients needed are obtained using information of the elementary stiffness and mass matrices. The obtained results show that the procedure leads to a new shape, which ensures the desired dynamic characteristics for the support plate.
    Noise Control Engineering Journal 02/2015; 63(1). DOI:10.3397/1/376306
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    ABSTRACT: Even though active noise control (ANC) technique has been widely investigated and proven its efficiency for low-frequency vehicle interior noise control, current applications are mainly for the steady noise process such as powertrain noise and uniform road noise. When impulsive road disturbances due to road bumps or potholes are present, they may hinder the performance of the ANC system. One of the reasons is that the prevalent ANC algorithm, namely the filtered- x least mean square (FxLMS) algorithm, has been developed assuming that the signals follow the normal distribution. The impact road noise due to a sudden impact may exhibit a non-Gaussian characteristic. Hence, the FxLMS algorithm may not be appropriate for controlling this type of impulsive noise. In this study, a robust ANC system configured with a modified FxLMS (MFxLMS) algorithm by incorporating thresholds on reference and error signal paths is proposed for impact road noise control. To aid in the control system design, the spectral-based substructuring technique is implemented to develop a coupled vehicle system model to simulate the impulsive interior acoustic response due to road unevenness. The vehicle passenger compartment is simplified as a 3-dimensional flexible-panel backed cavity model, which is coupled with the tire-wheel system modeled as a flexible ring element and rigid wheel through the suspension system represented by a spring-damper model. The tire-road interaction is modeled as a set of flexible elements with certain stiffness over a half-cosine wave road bump. Numerical simulation results show that the proposed ANC system can effectively deal with the interior impact road noise without instability issue that may occur in the existing FxLMS algorithm. In fact, results show that approximately 8 dB reductions are achieved at the driver's ear position.
    Noise Control Engineering Journal 01/2015; 63(1). DOI:10.3397/1/376308
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    ABSTRACT: In this paper, a subspace approach based on eigenvalue filtering is proposed for enhancement of corrupted speech. The new method firstly simultaneously diagonalizes the covariance matrix of clean speech and noise signal based on GEVD (generalized eigenvalues decomposition), and then filters the smaller components whose eigenvalues are less than zero. Because the remainder eigenvector matrix after filtering is irreversible, we introduce the generalized inverse matrix transform to solve this problem for recovery of speech signal. Experimental results show the proposed method performs better than many conventional methods under strong noise conditions, in terms of yielding less residual noise and lower speech distortion.
    Noise Control Engineering Journal 01/2015; 63(1). DOI:10.3397/1/376305
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    ABSTRACT: The paper investigates the accuracy of short-term noise monitoring strategies w.r.t. the long-term noise monitoring. The difference in short-term strategies from the annual average representative values obtained from yearly noise monitoring data is quantified as error. Long-term continuous noise monitoring data in terms of monthly averages for 35 locations spread over 7 major cities of India is analyzed. The analysis shows that the error of _3 dBA from annual equivalent level is calculated with 95% probability for LDay (06-22 h) and LNight (22-06 h) value by adopting 1 month noise monitoring strategy. For higher accuracy, the random 2 months strategy is recommended, whereby an error of _2 dBA is achieved with a probability higher than 90%. The study reveals that short-term noise monitoring strategy followed gives a reliable accuracy levels w.r.t. continuous long-term monitoring and thus offers a best practicable and economical option (BPEO) for noise mapping of larger parts of the country.
    Noise Control Engineering Journal 01/2015; 63(1). DOI:10.3397/1/376304
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    ABSTRACT: The behavior of noise generated by flow through the heat exchanger of indoor unit at low-speed free stream is studied by aero-acoustic performance measurements. First, the aero-acoustic performance experiment has been carried out for different velocities and angles. The characteristics of noise are investigated. It was found that the noise can be generated at particular conditions which are considered as the most important factors that influence the aerodynamic performance of the heat exchanger. Moreover, analysis was carried out to identify the oscillation modes in cavities. Second, a modified semiempirical formula for the model is presented matching the experimental results so that the model of noise can be applied at the low-speed free stream.
    Noise Control Engineering Journal 01/2015; 63(1). DOI:10.3397/1/376309
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    ABSTRACT: Highway and street systems allow for urban mobility but cause major environmental noise impacts. This paper describes the use of computational models to evaluate noise control measures implemented in the reconstruction of an important urban section of a highway in a large Latin American city. The study evaluated the transformation of this section of an old highway into a major avenue, demonstrating the impacts caused by traffic noise. The noise control measures evaluated here were: 1) Speed reduction, 2) Pavement replacement, 3) Decreased flow of heavy vehicles, and 4) All the measures jointly. Noise maps were produced which indicated that pavement replacement and altered speed limits were not effective noise control measures, since they reduced the noise levels only slightly. In contrast, the restriction of heavy vehicle traffic was considered an effective measure to decrease the noise levels, in view of the significant flow of heavy vehicles on this avenue (20% of the total flow). The changes made in this traffic corridor resulted in a reduction in the A-weighted sound levels of 6 to 7 dB.
    Noise Control Engineering Journal 01/2015; 63(1). DOI:10.3397/1/376301
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    ABSTRACT: Traffic noise in urban areas causes annoyance and sleep disturbance. High noise levels may be reduced by various types of noise reduction measures, e.g. noise barriers or low-noise asphalt. The effectiveness of such measures can be determined by an impact assessment, in which the effects of traffic noise (annoyance, sleep disturbance) are assessed by combining noise exposure levels with exposure- response relations. The standard approach for an impact assessment is to use a standard calculation model for the noise levels and standard exposure- response relations reported in the literature. This approach is acceptable for large-scale noise impact assessments, for example for the entire EU. For traffic noise in a limited urban area, however, the standard approach may give inaccurate results, and a more detailed local impact assessment methodology is preferred. This means that use is made of an optimized noise model, based on measured local noise levels, and local exposure-response relations, based on local noise annoyance surveys. In this article, the local impact assessment methodology is worked out and applied to annoyance and sleep disturbance by road and rail traffic noise in an urban area in The Netherlands, with about 1000 inhabitants. Values of the day-evening-night noise level and the night noise level at the facades of dwellings are determined with an engineering noise model that is optimized for the local situation, based on local noise measurements. Local exposure- response relations are determined by combining the noise levels with results of an annoyance survey among 71 inhabitants, using the regression method with censored normal distributions developed by Miedema and coworkers. The impact is represented by values of the local prevalence of annoyance and sleep disturbance. Considerable deviations are found from standard predictions, i.e. values according to the standard approach. Possible explanations for the deviations are discussed, including the role of accumulation of road and rail traffic noise. Finally, the local impact assessment method is applied to future scenarios for the urban area, including measures aimed at reducing road and rail traffic noise.
    Noise Control Engineering Journal 11/2014; 62(6). DOI:10.3397/1/376242
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    ABSTRACT: We investigated on an efficient masker for speech privacy protection. We first proposed a speaker-dependent (SD) masker created from speech spoken by the speaker to be masked (maskee). This masker decreased the speech intelligibility to a much lower level than conventional babble maskers, by up to 40%. However, this masker needs to be prepared for each potential speaker, and may be expensive to create and maintain. We also investigated on a same gender single-speaker (SSGD) masker, where the masker is created from a different speaker of the same gender. We found that this masker works just as well as the SD maskers for some speakers, while it was not as efficient for some other speakers. Accordingly, we also created gender-dependent maskers from multiple same-gender speakers (MSGD). This masker was proven to mask as well as the SD maskers for all the same gender speakers tested. We now only need to maintain two maskers, one masker per gender, which makes the maintenance and administration of these maskers much more efficient. In order to mask a speaker, we merely need to estimate the gender of the speaker, and play out the gender-dependent masker of the estimated gender.
    Noise Control Engineering Journal 11/2014; 62(6):411-421. DOI:10.3397/1/376239