基于模糊综合评价法的汽车维修企业质量信誉评价研究

结合企业内部管理、经营状况、客户评价与社会影响等多方面因素,构建了多层次的汽车维修企业质量信誉评价指标体系,引入层次分析法确定各评价指标的权重,同时利用多级模糊综合评价方法对汽车维修企业质量信誉指标构建评价矩阵,求出模糊评价结果,确定汽车维修企业质量信誉等级。通过实际案例验证,该方法可行,有利于行业监管评比和企业自查。     

关于汽车车身泄压阀及整车气密性对关门能量的影响研究

汽车关门能量决定驾乘者关闭车门的难易程度,影响驾乘者的客户感知体验。整车密封性是现代汽车重要的整车性能,而整车泄漏量决定整车密封性,其中泄压阀泄漏量是主要的整车可控泄漏量。研究了最小关门能量与泄压阀及整车泄漏量的关系,通过理论计算和实车试验得到泄压阀状态对关门能量和关门速度的影响。     

汽车关门声音信号提取方法研究

针对制造出样车后才能测量关门声音品质的滞后评价,提出一套在数字设计阶段即可进行仿真分析提取声音信号的方法。根据某样车车门结构参数,采用Hypermesh软件建立了车门的有限元模型,进行关门碰撞分析,得到标记点的响应速度。以响应速度作为边界条件,建立车门外板的边界元模型,进行声辐射分析,提取设定场点的声压波形。对比该样车关门声音信号采集试验的结果,验证了声音信号提取方法的正确性。     

基于声音信号的汽车安全带卷收器质量检测方法研究

为提高汽车安全带生产现场质量检测效率,根据《QC/T987—2014汽车安全带卷收器性能要求和试验方法》搭建实验平台,采集卷收器合格品与次品工作过程中的声音信号,将卷积注意力模块(CBAM)嵌入残差网络(ResNet-18)残差块之前,设计CBAM-ResNet-18“Before Blocks”模型,对采集到的卷收器声音信号进行分类。与不加注意力机制的ResNet-18模型、在残差块后加注意力机制的CBAM-ResNet-18“Within Blocks”模型、传统分类模型支持向量机和随机森林相比,模型在卷收器声音信号分类任务中的混淆矩阵、准确率、精确率、召回率和F₁值等方面均表现良好。实验结果表明：所设计的模型对于基于声音信号的汽车安全带卷收器质量检测十分有效。     

汽车关门声品质多维度评价方法研究

本文从响亮度、厚重感、金属感、精致感、紧凑感和关门舒适感6个维度对关门声品质进行主观评价,并识别与主观评价维度相对应的客观评价指标。相关性分析验证:响亮度评价指标为响度,厚重感评价指标为20～100 Hz频段能量,金属感评价指标为5 000～10 000 Hz频段能量,精致感评价指标为比值G,关门舒适感评价指标为最小关门速度。同时结合小波频谱分析、特征响度曲线分析和尖锐度曲线分析,从多方面对关门声品质进行研究,从而为关门声品质研发提供更为全面的主观评价方法,并为开关门声品质前期设计提供新思路。     

基于伪WIGNER-VILLE分布的汽车关门声品质评价参数研究

汽车关门声品质评价是汽车噪声、振动和声振粗糙度(Noise vibration and harshness,NVH)的重要研究内容之一.针对汽车关门声品质评价问题,基于伪WIGNER-VILLE分布,研究提出一个新的声品质评价参数——基于伪WIGNER-VILLE分布的声品质评价参数(Sound metric based on pseudo WIGNER-VILLE distribution,SMPWVD).在进行汽车关门声品质评价时,先采集汽车关门声音信号,计算其伪WIGNER-VILLE分布,再对得到的伪WIGNER-VILLE分布系数进行数值处理,即可得到新的声品质评价参数——SMPWVD.为评价该参数的有效性,将该参数与传统的声品质评价参数(响度,尖锐度)一起,分别与主观评价试验得出的关门声品质偏好性绩效值进行相关性分析.结果表明,所提出的新评价参数SMPWVD与声品质主观偏好性绩效值有更高的相关性,能更准确地评价汽车关门声品质.     

汽车制造企业绿色制造模式评价研究

针对汽车制造企业的绿色制造模式建立了包括时间、质量、成本、服务、资源及环境评价因数集,并将其分解成25项亚指标评价体系;然后针对该体系引入一种基于遗传优化的BP人工神经网络评价方法,从而通过遗传算法确定最佳隐含层单元数、最佳学习速率和最佳动量因子;最后在已确定的这些参数条件下,通过BP人工神经网络实现了汽车制造企业绿色制造模式的评价,并对评价结果进行了分析。     

基于TOPSIS的汽车发动机再制造方案综合评价

阐述了我国再制造汽车发动机等零部件产品的现状。针对汽车发动机再制造方案缺乏优化选择的问题,建立以经济性、技术性、资源能源性和环境性为指标的汽车发动机再制造方案评价体系,依据指标属性特征对各个指标的量化方法进行了分析,提出一种基于逼近于理想值的排序方法 (TOPSIS)的汽车发动机再制造方案综合评价方法,并通过实际应用案例,对该评价方法进行验证。     

面向客户需求的产品类型评价模型及应用

为增加客户对需求产品的满意度,建立面向客户需求的产品类型评价指标体系。运用改进层次分析法(AHP)的定性评价体系指标确定指标权重值,并结合熵权法改进AHP进一步得到更为客观的模型指标权重。然后利用理想模型Topsis算法算出客户最需要的产品类型。最后以某型号包装机上光电传感器的选择类型为例,构建评价指标体系得出客户最亲睐的传感器类型。验证了所提方案的可行性和适用性。为选用产品类型提供一种新方法。     

基于层次分析法的汽车多媒体评价指标权重确定方法研究

汽车多媒体评价体系包含结构复杂的多层次指标,评价其整体性能较困难。层次分析法是一种简便且实用的分析权重方法,通过各个评价指标的对比分析,计算相对权重,从而得出每个指标对整体性能所占权重。通过该方法得出了汽车多媒体的整体性能评价结果,为其改进提供科学依据。     

车内声品质评价系统的研究

研究现有声品质评价方法,开发一套集声音数据可视化管理、声品质主要评价参数计算、声品质主观评价打分及评价结果自动处理为一体的声品质评价系统,并应用该系统进行稳态车内噪声评价实验,证明了系统的正确性和工程应用价值.     

CIMT 2003 users service work launched

China Machine Tool ＆ Tool Builders’Association(CMTBA),host of the China International Machine ToolShow,deeply believes that high-quality users are the im-portant basis for success of the exhibition and therefore em-phasizes highly quality services to users.For a long period oftime,CMTBA has established a sound cooperation relation-     

基于GA-BP的汽车风振噪声声品质预测模型

目前对于汽车风振噪声的优化研究主要以声压级（Sound pressure level,SPL）作为单一评价指标,既不能全面反映噪声的物理属性,也无法考虑人耳对噪声的主观认知过程。为准确评价风振噪声,引入声品质,运用大涡模拟（Large eddy simulation,LES）对风振噪声进行数值仿真,根据实车道路试验判断仿真的准确性;对仿真结果进行声品质客观评价与主观评价,综合声品质客观评价参数与声品质主观评价试验结果建立BP神经网络预测模型;利用遗传算法（Genetic algorithm,GA）,进一步对BP神经网络的结构参数进行优化,建立GA-BP声品质预测模型。研究结果表明,GA-BP声品质预测模型在训练速度和预测精度上都优于BP神经网络预测模型。预测模型基于声品质主客观评价结果,其预测值可以代替传统的声压级评价指标,为风振噪声提供更为准确合理的评价。     

基于结构方程模型的经济型轿车客户质量评价

针对国内经济型轿车的设计、质量不好和日益增长的需求之间的矛盾.必须从客户角度设计,控制汽车制造质量.为了解决客户主观、模糊化的需求信息,必须把质量需求信息定量化.结合人对质量认知的绝对与相对因素,必须从企业形象、使用质量和性价比三个因素进行客户质量需求分析.根据人的认知过程的特殊性,三个因素之间存在很大的相关性.三个因素分别根据层次法建立指标体系,在假设三个因素存在线形相关的前提下,建立结构方程组模型.为了避免人为构建的指标之间的共线性关系,以偏最小二乘法为基础进行数据处理,以追求更真实,科学的分析结果.通过客户需求信息的定量化,将可以形成以数据驱动的形式指导企业的设计和质量生产行为.     

DMAIC模型在汽车4S站售后服务管理中的应用

汽车售后服务的市场竞争不再靠名牌汽车的品牌效应,更需要依靠的是优质的售后服务作为保障。根据管理学理论中的DMAIC模型,从汽车4S站前台服务水平的提高、车间维修技术能力的提升以及售后服务组织架构的完善等方面,探讨了在汽车4S站售后服务管理过程中如何根据CSI五大关键因子的要求,来提高汽车4S站的售后服务质量以及顾客对4S站的满意度和忠诚度,进而实现4S站企业与顾客的双赢。     

Intranet/Extranet/Internet-Based Quality Information Management System in Expanded Enterprises

Because of e-commerce and the global economy, industries are challenged by world markets and modern enterprise morphologies, such as agile supply chains, expanded companies and virtual enterprises. Enterprises are thinking more and more about the market, customers and suppliers. Product quality is judged by the global market and the customers in the world village, and not only by the domestic market and customers. Enterprise quality assurance systems not only cover internal functional departments in an enterprise, but are expanding to external parties, such as customers, partners and suppliers, so, an expanded enterprise’s core competencies or leadership capabilities in quality assurance have to be strengthened by the complementary capabilities of partners. The traditional quality assurance technologies have to be innovated. It is reasonable that "customer focus" and "mutually beneficialsupplier relationships" blend into the core concepts of a quality management philosophy. As tools used by enterprises to support quality management, quality information management systems (QIMS) have to capture quality information from both internal and external parties, and to facilitate the communication environment, in order to share quality information among enterprises, customers and suppliers. Because of this, it is impossible for a traditional quality information management system based on the Intranet to meet these needs. In this paper, a model of the expanded enterprise is extended. A concept model and a functional model of the quality information management system based on Internet/Extranet/Intranet (IEI-QIS) are proposed. The system is able to integrate quality information from the enterprise, product customers and suppliers, and serves as a powerful tool to benefit the quality management of modern enterprises. A browser/server-based and the three-layer system architecture of IEI-QIS are also investigated. ID="A1"Correspondance and offprint requests to: Tang Xiaoqing, School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, PR China. E-mail: tanghuan@public.fhnet.cn.net     

Design of new sound metric and its application for quantification of an axle gear whine sound by utilizing artificial neural network

The gear whine sound of an axle system is one of the most important sound qualities in a sport utility vehicle (SUV). Previous work has shown that, because of masking effects, it is difficult to evaluate the gear whine sound objectively by using only the A-weighted sound pressure level. In this paper, a new objective evaluation method for this sound was developed by using new sound metrics, which are developed based on the increment of signal to noise ration and the psychoacoustic parameters in the paper, and the artificial neural network (ANN) used for the modeling of the correlation between objective and subjective evaluation. This model developed by using ANN was applied to the objective evaluation of the axle-gear whine sound for real SUVs and the output of the model was compared with subjective evaluation. The results indicate a good correlation of over 90 percent between the subjective and objective evaluations. This paper was recommended for publication in revised form by Associate Editor Yeon June Kang Professor Sang-Kwon Lee received a Ph.D. degree in ISVR (Institute of Sound and Vibration Research) from Southampton University in 1998. He joined Hyundai Motor Research Center in Korea, working with the Automotive Noise and Vibration Control Group from 1985 to 1994. He has been the Professor at the Department of Mechanical Engineering, Inha University, Inchon, Korea, since March 1999. His research interests are the digital signal processing, NVH (noise vibration harahness), condition monitoring, product sound quality design and active control.     

Sound quality analysis of a passenger car based on electroencephalography

This paper presents the correlation between psychological and physiological acoustics for automobile sounds. The purpose of this paper is to evaluate the quality of the interior sound in passenger cars based on electroencephalogram (EEG). Previous objective evaluation method of sound quality involved the use of sound metrics based on psychological acoustics. The proposed method employed not only the psychological but also the physiological acoustics. In this work, the sounds of seven premium passenger cars were recorded, and they were evaluated subjectively by 33 people. The correlation between the subjective rating and the sound metrics was calculated based on psychological acoustics. Finally, the correlation between the subjective rating and the brain EEG was also calculated. Based on these results, a new evaluation system for evaluating the quality of the interior sounds of passenger cars was developed based on bio-signals.     

空调压缩机噪声声品质主客观评价及其相关性研究

通过对某生产厂家的空调压缩机进行现场噪声测试,采用评分法对噪声声品质偏好性指标进行主观评价,并计算出A声级、响度和尖锐度值作为声品质的客观评价指标.对主客观评价结果进行相关性分析及线性回归分析,提出了声品质主观偏好性值的预估模型.研究结果表明,压缩机噪声声品质主要受A声级、响度和尖锐度的共同影响.