Relevant bibliographies by topics / Noise-vibration-harshness (NVH)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Noise-vibration-harshness (NVH)'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Noise-vibration-harshness (NVH)"

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Qatu, M., M. Sirafi, and F. Johns. "Robustness of powertrain mount system for noise, vibration and harshness at idle." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 10 (October 1, 2002): 805–10. http://dx.doi.org/10.1177/095440700221600103.

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Noise, vibration and harshness (NVH) has become an increasingly important attribute in vehicle engineering. At idle conditions, customer-perceived NVH is dominated by powertrain NVH. Powertrain NVH can be radiated engine noise or noise (and vibration) transmitted through the powertrain mounting system. This paper discusses the variability in the latter NVH as a function of the variability of the mount stiffness parameters. A simple six-degree-of-freedom model is used in the analysis. A detailed design of experiment studies was conducted. It is concluded that better control of mount stiffness parameters would result in improved prediction and performance of idle NVH.
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Ab Aziz, Shamsul Akmar, Risby Mohd Sohaimi, Muhammad Hazwan Pu’ad, and Mohd Abdullah Mohd Yaman. "Noise, Vibration and Harshness (NVH) Study on Malaysian Armed Forces (MAF) Tactical Vehicle." Applied Mechanics and Materials 165 (April 2012): 165–69. http://dx.doi.org/10.4028/www.scientific.net/amm.165.165.

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Noise, Vibration and Harshness (NVH) is the study and modification of the noise and vibration characteristics of vehicles, particularly cars and trucks. NVH parameters which consist of noise (unwanted sound), vibration (mechanical oscillation) and harshness (severity or discomfort of noise or vibration) need to be evaluated in order to improve comfort and safety levels for vehicle occupants. In this paper, NVH study was conducted on Malaysian Armed Forces (MAF) tactical vehicles in order to ensure that the vehicles meet the requirements of the Occupational Safety and Health Administration (OSHA) and Directive 2002/44/EC. The project aim was to identify the preferable solution that can improve the NVH parameters of the vehicles in accordance to the standard and test protocols. A 4x4 Troop Transporter vehicle which carried 8 persons at the rear cabin was used in the NVH testing. The vibration parameters studied are hand arm vibration (HAV), focussing on vibration on the steering wheels of the vehicle, and whole body vibration (WBV), focussing on vibration on the seats. For noise, it was measured at the driver cabin and rear cabin of the vehicles. From the results, the HAV value for driver during idle speed was found to be higher than the others velocity. For WBV, vibration value for passenger 1 in rear cabin was highest compared to the other WBV test points.
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Hua, Xia, Alan Thomas, and Kurt Shultis. "Recent progress in battery electric vehicle noise, vibration, and harshness." Science Progress 104, no. 1 (January 2021): 003685042110052. http://dx.doi.org/10.1177/00368504211005224.

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As battery electric vehicle (BEV) market share grows so must our understanding of the noise, vibration, and harshness (NVH) phenomenon found inside the BEVs which makes this technological revolution possible. Similar to the conventional vehicle having encountered numerous NVH issues until today, BEV has to face many new and tough NVH issues. For example, conventional vehicles are powered by the internal combustion engine (ICE) which is the dominant noise source. The noises from other sources were generally masked by the combustion engine, thus the research focus was on the reduction of combustion engine while less attention was paid to noises from other sources. A BEV does not have ICE, automatic transmission, transfer case, fuel tank, air intake, or exhaust systems. In their place, there is more than enough space to accommodate the electric drive unit and battery pack. BEV is quieter without a combustion engine, however, the research on vehicle NVH is even more significant since the elimination of the combustion engine would expose many noise behaviors of BEV that were previously ignored but would now seem clearly audible and annoying. Researches have recently been conducted on the NVH of BEV mainly emphasis on the reduction of noise induced by powertrain, tire, wind and ancillary system and the improvement of sound quality. This review paper will focus on recent progress in BEV NVH research to advance the BEV systems in the future. It is a review for theoretical, computational, and experimental work conducted by both academia and industry in the past few years.
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Han, Gyu-Been, and Hyung-Seok Kook. "Intake Noise Simulation based on a Noise, Vibration and Harshness Simulator." Transactions of the Korean Society for Noise and Vibration Engineering 30, no. 3 (June 20, 2020): 263–69. http://dx.doi.org/10.5050/ksnve.2020.30.3.263.

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Aziz, Shamsul Akmar Ab, Mohd Zaki Nuawi, Mohd Jailani Mohd Nor, and Dian Darina Indah Daruis. "Study of Noise, Vibration and Harshness (NVH) for Malaysian Army (MA) 3-Tonne Trucks." Applied Mechanics and Materials 471 (December 2013): 74–80. http://dx.doi.org/10.4028/www.scientific.net/amm.471.74.

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Moving vehicle will produce dynamic excitation and can be categorized in the study of noise, vibration and harshness (NVH). Studies of NVH can resolve issues associated with the use of a vehicle comfort. Exposure to some level of noise and vibration can be classified as a danger to vehicle passengers if they are exposed in a standard eight-hour time period. Therefore NVH aspect is the most important aspect in selecting a military vehicle other than the factor of safety, reliability, fuel consumption and maintenance costs. This study was carried out on Malaysian Army (MA) 3-tonne truck drivers who are exposed to noise and vibration produced by the truck. Vibration exposure at seat, steering wheel and body floor was measured using tri-axial and single axis accelerometers which were connected to a Brüel & Kjær Type 3649 vibration analyser, while noise exposure was measured at the drivers ear position using a DuO smart noise monitor. From the results obtained, both vibration and noise pressure levels increased proportionally with the increasing speed of the truck. In the long-term, will have an impact on the health of the truck drivers.
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Kumbhar, S., Subhasis Maji, and Bimlesh Kumar. "Automotive vibration and noise control using smart materials: a state of art and challenges." World Journal of Engineering 10, no. 6 (December 1, 2013): 535–42. http://dx.doi.org/10.1260/1708-5284.10.6.535.

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In the past several years, there has been increased market place awareness of noise, vibration, and harshness performance in automobiles. The differentiation between the quality and reliability levels of automobiles has become less pronounced and, as a result, manufacturers have had to demonstrate superiority by focusing on NVH concerns. The automotive industry is currently spending millions of dollars on NVH work to develop new materials and damping techniques so that the damping treatments are lighter, cheaper, and more effective. Some of the methods used to control noise, vibration, and harshness includes the use of different carpeting treatments, the addition of rubber or asphalt material to car panels, gap sealant, and the injection of expandable foam into body panels. The aim of this study is to explore the feasibility of smart damping materials such as magnet orheological elastomers (MRE), piezoelectric materials, with its basic properties, for augmenting and improving the performance benefits of damping materials. This study also evaluates the noise and vibration benefits of smart damping materials as compared to conventional damping treatments.
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Kumbhar, S., Subhasis Maji, and Bimlesh Kumar. "Automotive vibration and noise control using smart materials: a state of art and challenges." World Journal of Engineering 11, no. 4 (August 1, 2014): 413–20. http://dx.doi.org/10.1260/1708-5284.11.4.413.

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In the past several years, there has been increased market place awareness of noise, vibration, and harshness performance in automobiles. The differentiation between the quality and reliability levels of automobiles has become less pronounced and, as a result, manufacturers have had to demonstrate superiority by focusing on NVH concerns. The automotive industry is currently spending millions of dollars on NVH work to develop new materials and damping techniques so that the damping treatments are lighter, cheaper and more effective. Some of the methods used to control noise, vibration and harshness includes the use of different carpeting treatments, the addition of rubber or asphalt material to car panels, gap sealant, and the injection of expandable foam into body panels. The aim of this study is to explore the feasibility of smart damping materials such as magnetorheological elastomers (MRE), piezoelectric materials, with its basic properties, for augmenting and improving the performance benefits of damping materials. This study also evaluates the noise and vibration benefits of smart damping materials as compared to conventional damping treatments.
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Bang, Tae-Kyoung, Kyung-Hun Shin, Jeong-In Lee, Hoon-Ki Lee, Han-Wook Cho, and Jang-Young Choi. "Experimental and Comparative Study of Rotor Vibrations of Permanent Magnet Machines with Two Different Fractional Pole/Slot Combinations." Applied Sciences 10, no. 24 (December 9, 2020): 8792. http://dx.doi.org/10.3390/app10248792.

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This study deals with the noise, vibration, and harshness (NVH) characteristic analysis of permanent magnet synchronous motors (PMSMs) for electrical machines, such as electrically driven tools that are used in industries. An improved NVH design is needed for application to industrial tools. In general, the electromagnetic NVH characteristics of PMSMs are classified into electromagnetic excitation sources, such as total harmonic distortion of EMF, torque pulsation, magnetic pull force, and unbalanced magnetic force (UMF). This study compares the vibration and noise generated by fractional pole/slot combinations. In PMSMs with fractional pole/slot combinations, UMF is an important NVH source. PMSMs generate UMF because of armature reaction fields based on the pole/slot combinations and harmonics of magnetic flux density. UMF was derived using the finite element method, and the rotor vibration analysis was performed using electromagnetic mechanical coupling analysis. The analysis results and the effect of electromagnetic excitation characteristics on the rotor vibration of the PMSMs were compared and analyzed.
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Hu, Qiao Sheng, Feng Ni, Shu Guang Zuo, Jian Ping Lin, De Guang Fang, and Fu Xiang Guo. "Investigation on Technology of Automobile Vibration and Noise Reduction Based on Body-In-White Structure." Key Engineering Materials 474-476 (April 2011): 676–80. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.676.

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The automotive body system is not only a source for directly radiating noise into the vehicle interior space, but also a key component for transmitting various vibrations and noise. The optimization of the modes for body-in-white has significant meanings for improving the reliability and NVH (Noise, Vibration and Harshness) performance of the whole vehicle. Based on the current situation that there is more severe interior vibration and noise problem occurring in driving for a light passenger vehicle, a hybrid modal analysis method combined with experiment and simulation methods is applied to investigate the vibration and noise characteristics of the whole vehicle body. By performing such modal analysis, the modal frequencies of the auto-body are improved effectively by strengthening the vibration sensitive regions in the body structure. The experiment for measuring interior vibration and noise levels under cruise condition is conducted to validate that the structural optimization for body-in-white has significant contribution for improving the whole vehicle NVH performance.
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Plättner, David. "E-Kompressoren entkoppeln." Lärmbekämpfung 16, no. 05 (2021): 154–55. http://dx.doi.org/10.37544/1863-4672-2021-05-24.

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Vibracoustic, ein weltweit führender Anbieter von NVH-Lösungen (Noise, Vibration and Harshness) für die Automobilindustrie, hat ein innovatives neues Entkopplungssystem für elektrische Kompressoren in modernen Elektrofahrzeugen und Plug-in-Hybrid- Fahrzeugen auf den Markt gebracht. Die neue Lösung adressiert viele der NVH-Herausforderungen, mit denen Fahrzeughersteller konfrontiert sind, wenn es darum geht, das Wärmemanagement der Batterien zu optimieren und gleichzeitig übermäßige Geräusche und Vibrationen von extrem beanspruchten E-Kompressoren auszugleichen.
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Dissertations / Theses on the topic "Noise-vibration-harshness (NVH)"

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Yuan, QingHui, and Aaron Jogada. "Architecture, Control and NVH Development of Digital Hydraulics for Off-Highway Vehicle Applications." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199396.

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Digital hydraulics is one of promising technologies having a huge potential to significantly improve energy efficiency in the fluid power industry. In this paper, we present a digital hydraulics solution for mobile market with a large ammount of energy usage by hydraulic components and systems. Specifically, a novel hydraulic architecture, Multiplex Digital Valve (MDV) system that employs digital valves to meet multiple service pressure/flow requirement in off highway vehicles, is introduced. With MDV being integrated in an execavator, signficant hydraulic power saving have been validated compared to the baseline machine with the negative flow control (NFC) architecture. In addition, considering noise is still a critical hurdle for digital hydraulics to be adoped, we develop several noise reduction methods that have been evaluated in simulation environment and implemented in the above MDV. The sound pressure measured from the retrofitted MDV solution with the NVH treatment in the excavator has been improved signficantly over the untreated system such that it is nearly comparable to the baseline machine. The paper also briefly presents the sound quality study for better understanding of human perception and acceptance to nonconventional sound.
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Bouchner, Michal. "Určení NVH parametrů rovinné desky." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-378142.

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The aim of this thesis is examination and verification of numeric model for solving acoustics and vibration problems. Specifically, we are speaking about cast iron plate machined from gearbox. Main objectives of this work is set of experimental and numerical analysis at this simplified part with follow-up numerical model, where same analyses examining not only structure, but especially acoustic space around were performed. Due to this we were able to compare data between experimental and numerical analyses and to be able to prove or disprove functionality and limitation of numerical model.
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Venezia, James J. Jr. "Vibration Modeling and Experimental Analysis of a Locomotive Cab." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36725.

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This study evaluates noise and vibrations in a heavy freight locomotive cab, and provides several measures for providing more comfort to the crew. A full-scale production cab and sill structure is used to provide the results. The cab is setup in a controlled laboratory environment in a manner similar to the installation on a locomotive. Field measurements are used to emulate actual vibration input to the cab structure. A 16-channel data acquisition system is used to collect both noise and vibration data on various parts of the cab structure and inside the cab. Upon establishing the baseline for laboratory vibration measurements and correlating them with field data, a design of experiment was conducted to evaluate the vibration contribution of various parts of the cab. This showed that the cab floor and cab roof had the largest vibrations. A series of solutions including stiffening the cab floor and damping the cab roof were investigated. The results showed that although such solutions reduce localized vibrations, the overall effect on reducing cab interior noise is minimal. As a more global solution, the cab was isolated from the sill structure through six elastomeric elements mounted at the base of the cab and at the crash post. The mounts at the base were selected such that they support the static weight of the cab, provide a resonance frequency that is below the excitation range, and offer good lateral and longitudinal stability. Two tube-form elastomeric mounts were placed between the cab structure and the crash posts which attach to the front of the sill structure. The test results showed that the soft-mounted cab had significantly lower noise and vibration than the original cab. The vibration levels were reduced 10 to 100 times at certain locations and frequency ranges. The overall noise level was reduced by approximately 6 dBA. In an attempt to provide an estimate of effectiveness of the mounts with different stiffness values, a simulation model was prepared in Matlab. Although the model did not yield accurate results, it resulted in several recommendations for future research work.
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Tang, Jinghan. "Finite element modelling of ventilated brake disc hot spotting." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/13340.

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Hot spotting of automotive disc brakes is an undesired thermal localisation phenomenon, which is a challenge for numerical modelling in terms of both accuracy and efficiency especially for complex disc geometry. In this research, the aim was to develop a computationally efficient finite element (FE) approach for 2-piece pin-mounted ventilated disc hot spot prediction with acceptable accuracy enabling parametric studies to contribute to the knowledge of the complex mechanisms. A time reduction strategy for the simulations was established by incorporating an axisymmetric brake pad assumption with material scaling factor and the friction characteristics were defined by a user-subroutine. The computing accuracy and efficiency of this method were then verified by comparing with traditional FE models. 2D in-plane, 2D out-of-plane, and 3D models were performed to investigate the effects of ventilated disc hot spotting, radial hot spot/band migration, and hot spotting of realistic complex disc geometry respectively. Both 2D and 3D results were validated using experimental results based on a laboratory dynamometer and showed good correlation. The results suggested that adequate modelling of friction pair contact pressure distribution and the subsequent non-uniform heat generation is essential for hot spot simulation; speed was identified as the determinant for the number of hot spots, whereas hot spot temperature was determined by energy level. Furthermore, recommendations for vent design, pins, disc run-out, cooling, material selection, wear rate, pad length and loading distribution were given. Finally, hot spotting and hot band migration cause-effect chains were established based on the results and discussion.
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Ahnesjö, Henrik. "Fault detection of planetary gearboxes in BLDC-motors using vibration and acoustic noise analysis." Thesis, Uppsala universitet, Institutionen för elektroteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-425966.

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This thesis aims to use vibration and acoustic noise analysis to help a production line of a certain motor type to ensure good quality. Noise from the gearbox is sometimes present and the way it is detected is with a human listening to it. This type of error detection is subjective, and it is possible for human error to be present. Therefore, an automatic test that pass or fail the produced Brush Less Direct Current (BLDC)-motors is wanted. Two measurement setups were used. One was based on an accelerometer which was used for vibration measurements, and the other based on a microphone for acoustic sound measurements. The acquisition and analysis of the measurements were implemented using the data acquisition device, compactDAQ NI 9171, and the graphical programming software, NI LabVIEW. Two methods, i.e., power spectrum analysis and machine learning, were used for the analyzing of vibration and acoustic signals, and identifying faults in the gearbox. The first method based on the Fast Fourier transform (FFT) was used to the recorded sound from the BLDC-motor with the integrated planetary gearbox to identify the peaks of the sound signals. The source of the acoustic sound is from a faulty planet gear, in which a flank of a tooth had an indentation. Which could be measured and analyzed. It sounded like noise, which can be used as the indications of faults in gears. The second method was based on the BLDC-motors vibration characteristics and uses supervised machine learning to separate healthy motors from the faulty ones. Support Vector Machine (SVM) is the suggested machine learning algorithm and 23 different features are used. The best performing model was a Coarse Gaussian SVM, with an overall accuracy of 92.25 % on the validation data.
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Xue, Boyu. "3D Printed Lattice Structure for Driveline Applications." Thesis, KTH, Materialvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299270.

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Lattice structures have received a lot of attention as cellular materials in recent years because of their outstanding properties, such as high strength-to-weight ratio, heat transfer, energy absorption, and capability of improving noise, vibration and harshness (NVH) behavior. This type of structure received a boost from additive manufacturing (AM) technology, which can fabricate geometries in practically any shape. Due to economic and environmental requirements, lightweight design is increasingly used in automobile and construction equipment applications. NVH behavior is a crucial issue for construction equipment. However, the conventional structures' NVH behavior is mainly decided by the mass, so silence often requires heavy systems, leading to more energy consumption and emission. Therefore, the environmental trends and the resulting economic competition have limited traditional (heavy) solutions to improve NVH behavior and make the lightweight design more difficult. Novel solutions are necessary to light the difficulty and challenge of combining NVH and lightweight requirements. In this research, topology optimization was implemented on a New Articulated Hauler Transmission (NAHT) component to balance lightweight and NVH behavior. The topology- optimized 3D model was filled by a non-homogenous lattice structure with optimal lattice density via size optimization. Lattice structure optimization is one type of topology optimization, and it is the term for describing these procedures. To fabricate the complicated lattice structure, additive manufacturing (or 3D printing) is required (after topology and lattice structure optimization). The new models were analyzed using the finite element method (FEM), and the results of the analysis were compared with those of the original models. After the comparison, positive results were obtained, demonstrating that topology and lattice optimization can be applied in the design of construction equipment components. According to the results, lattice structure optimization can create a reliable lightweight design with good NVH behavior. Furthermore, lattice structure's organization and layout have a significant impact on the overall performance.
Gitterstrukturer har fått mycket uppmärksamhet som cellulära material under de senaste åren på grund av deras enastående egenskaper, t.ex. hög hållfasthet i förhållande till vikt, värmeöverföring, energiabsorption och förmåga att förbättra buller-, vibrations- och bullerskador (NVH-beteende). Denna typ av struktur har fått ett uppsving av tekniken för additiv tillverkning (AM), som kan tillverka geometrier i praktiskt taget vilken form som helst. På grund av ekonomiska och miljömässiga krav används lättviktsdesign i allt större utsträckning inom bilindustrin och byggnadsutrustning. NVH-egenskaperna är en viktig fråga för anläggningsutrustning. De konventionella konstruktionernas NVH-beteende bestäms dock huvudsakligen av massan, vilket innebär att tystnad ofta kräver tunga system, vilket leder till ökad energiförbrukning och större utsläpp. Miljötrenderna och den ekonomiska konkurrens som följer av detta har därför begränsat de traditionella (tunga) lösningarna för att förbättra NVH-egenskaperna och gjort lättviktsdesignen svårare. Nya lösningar är nödvändiga för att lösa svårigheten och utmaningen med att kombinera NVH- och lättviktskrav. I den här forskningen genomfördes topologioptimering på en komponent för en ny ledad transportörtransmission (NAHT) för att balansera lättvikts- och NVH-beteende. Den topologioptimerade 3D-modellen fylldes med en icke-homogen gitterstruktur med optimal gittertäthet via storleksoptimering. Gitterstrukturoptimering är en typ av topologioptimering, och det är termen för att beskriva dessa förfaranden. För att tillverka den komplicerade gitterstrukturen krävs additiv tillverkning (eller 3D-utskrift) (efter topologi- och gitterstrukturoptimering). De nya modellerna analyserades med hjälp av finita elementmetoden (FEM), och resultaten av analysen jämfördes med resultaten av de ursprungliga modellerna. Efter jämförelsen erhölls positiva resultat, vilket visar att optimering av topologi och gitterstruktur kan tillämpas vid utformning av komponenter för byggutrustning. Enligt resultaten kan optimering av gitterstrukturen skapa en tillförlitlig lättviktsdesign med bra NVH-beteende. Dessutom har gitterstrukturens organisering och layout en betydande inverkan på den totala prestandan.
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Oliveira, Ana Margarida Aires Cancelinha. "Monitorização de máquinas industriais recorrendo a técnicas de Data Mining e Machine Learning." Master's thesis, 2017. http://hdl.handle.net/1822/57386.

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores
Hoje em dia, está-se perante uma 4ª revolução industrial marcada pela utilização das tecnologias da informação nos processos industriais. A monitorização contínua de vários parâmetros que contribuem para o bom funcionamento das máquinas é um processo que engloba uma grande recolha de dados e a sua análise. Estes dados recolhidos contêm muita informação útil que pode ser utilizada para uma melhor execução de tarefas ou tomada de decisões. Um sistema de monitorização, que recorre a Data Mining e Machine Learning, concede grandes vantagens às empresas, como a redução de custos de manutenção, tempo de inatividade, entre outras. Nesta dissertação, desenvolveu-se um sistema de deteção e previsão de falha de componentes rotativos, aplicando técnicas de data mining e machine learning a dados de vibração extraídos de máquinas industriais. Numa primeira fase, os dados de vibração armazenados foram pré-processados com diferentes métodos, de forma a extrair as características mais relevantes para o problema em causa. De seguida, foram aplicados vários algoritmos de Data Mining com o objetivo de obter toda a informação útil. Após a obtenção dessa informação, aplicaram-se técnicas de Machine Learning com o objetivo de tomar as melhores decisões sobre a máquina, considerando a informação extraída. Vários casos foram estudados e implementados, contudo os melhores resultados surgiram da utilização das técnicas de pré-processamento Discrete Wavelet Transform (DWT) e Empirical Mode Decomposition (EMD) associadas ao classificador Support Vector Data Description (SVDD).
Today, we are facing a 4th industrial revolution marked by the use of information technology in industrial processes. The continuous monitoring of several parameters which ensure proper operation of a machine, it’s a process that includes massive data collection and analysis. The collected data has useful information that can be used for a better task execution or decision making. A monitoring system, which uses Data Mining and Machine Learning, brings great advantages to industry like the reduction of maintenance costs and downtime. In this dissertation, a failure prediction and detection system for rotating components is developed by applying Data Mining and Machine Learning techniques to vibration data extracted from industrial machines. Initially, the storage vibration data is preprocessed with different methods, in order to extract the most relevant features for the problem in question. Next, several Data Mining algorithms were applied to obtain all useful information. After obtaining the information, Machine Learning techniques were applied to make the best decisions about the machine, considering the information extracted. Several cases were studied and implemented, but the best results were obtained using the Discrete Wavelet Transform (DWT) and Empirical Mode Decomposition (EMD) preprocessing techniques associated with the Support Vector Data Description (SVDD) classifier.
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Books on the topic "Noise-vibration-harshness (NVH)"

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Zhongguo qi che gong cheng xue hui. Proceedings of the FISITA 2012 World Automotive Congress: Volume 13: Noise, Vibration and Harshness (NVH). Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Noise, Vibration and Harshness (Nvh) Technology Collection. Society of Automotive Engineers Inc, 2002.

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Book chapters on the topic "Noise-vibration-harshness (NVH)"

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Barton, David C., and John D. Fieldhouse. "Noise, Vibration and Harshness (NVH)." In Automotive Chassis Engineering, 255–317. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72437-9_5.

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Jálics, Károly. "Simulation Methods in the Vehicle Noise, Vibration and Harshness (NVH)." In Lecture Notes in Mechanical Engineering, 91–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51189-4_9.

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Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.

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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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"NOISE, VIBRATION, HARSHNESS (NVH)." In Series on Advances in Mathematics for Applied Sciences, 577–91. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814713443_0011.

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"NVH (Noise and Vibration Harshness)." In Encyclopedia of Tribology, 2465–66. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-0-387-92897-5_100959.

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Xin, Qianfan. "Noise, vibration, and harshness (NVH) in diesel engine system design." In Diesel Engine System Design, 759–821. Elsevier, 2013. http://dx.doi.org/10.1533/9780857090836.3.759.

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Bein, T., J. Bös, D. Mayer, and T. Melz. "Advanced materials and technologies for reducing noise, vibration and harshness (NVH) in automobiles." In Advanced Materials in Automotive Engineering, 254–98. Elsevier, 2012. http://dx.doi.org/10.1533/9780857095466.254.

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Conference papers on the topic "Noise-vibration-harshness (NVH)"

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Meier, Christoph, Dirk Lieske, and Stefan Bikker. "NVH-Development of Electric Powertrains - CAE-Methods and NVH-Criteria." In 8th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-01-2072.

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Brandl, Stephan, Werner Biermayer, Bernhard Graf, and Thomas Resch. "Hybrid Vehicle’s NVH Challenges and Influences on the NVH Development." In 9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-1837.

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Duval, Arnaud, Guillaume Crignon, Mickael Goret, Dominique Lemaire, Jean-Baptiste Prunet, and Patrick Chanudet. "Ecofelt Hybrid Stiff NVH Tunable Insulator." In 10th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1494.

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Sanghani, Rahul R., Thomas Cherian, Subramaniam Loganathan, Kamal Suhalka, and Juban Thomas. "Tire NVH Optimization for Future Mobility." In 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1520.

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Wang, Shanjin, Jean-Louis Jouvray, and Thomas Kalos. "NVH Technologies and Challenges on Electric Powertrain." In 10th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1551.

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Lysak, Alina, and Thierry Bourdon. "NVH Optimization Methods Applied to E-Motors." In 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1531.

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Gruber, Hans, and Jianmin Guan. "NVH Performance Optimization of Full Vehicles in Automotive." In 7th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-01-1525.

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Wang, Shanjin. "Global NVH Optimisation Methodologies for Modern Automotive Powertrains." In 9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-1773.

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Mehrgou, Mehdi, Franz Zieher, and Christoph Priestner. "NVH and Acoustics Analysis Solutions for Electric Drives." In 9th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-1802.

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Holehouse, Robert, Annabel Shahaj, Melanie Michon, and Barry James. "Integrated Approach to Electro-Mechanical System NVH Analysis." In 10th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1499.

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Reports on the topic "Noise-vibration-harshness (NVH)"

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Jiang, Yuxiang. Unsettled Technology Areas in Electric Propulsion Systems. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021012.

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Abstract:
Electric vehicle (EV) transmission technology—crucial for battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs)—is developing quickly and customers want good performance at a low cost. Single-speed gearboxes are popular in electric drive systems due to their simple and cost-effective configuration. However, multispeed gearboxes are being taken to market due to their higher low-speed torque, dynamic performance, and energy efficiency. Unsettled Technology Areas in Electric Propulsion Systems reviews the economic drivers, existing techniques, and current challenges of EV transmission technology—including torque interruption during shifting; thermal and sealing issues; and noise, vibration, and harshness (NVH). This report discusses the pros and cons for both single-speed and multispeed gearboxes with numerical analysis.
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