Characterisation of multiple interior noise metrics and translation of the voice of the customer

Several metrics represent noise characteristics such as engine idle, acceleration, and rough and smooth road noise because many factors affect vehicle noise. Engineers have to juggle several metrics to satisfy heterogeneous customer needs. All important design variables, which are often well correlated, should be included in translating the Voice Of the Customer (VOC) because the noise performance depends on several subsystems that are interconnected. Due to the highly correlated noise metrics, Multiple Linear Regression (MLR) is severely limited to incorporate special circumstances. Therefore, co-varying structures among interior noise metrics and the relationship between the latent structure and VOC are analysed by applying Principal Component Analysis (PCA) and Principal Component Regression (PCR).(A)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14791471
• Authors:
  • LEE, S D
• Publication Date: 2006

Language

• English

Media Info

• Pagination: 341-356
• Serial:
  • International Journal of Vehicle Noise and Vibration
  • Volume: 2
  • Issue Number: 4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1479-1471
  • EISSN: 1479-148X
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVNV

Subject/Index Terms

• TRT Terms: Design; Highways; Linear systems; Motors; Noise; Rolling contact; Vehicle components; Vehicles; Wind
• ITRD Terms: 1354: Components of the vehicle; 5440: Contact (tyre road); 9011: Design (overall design); 2755: Highway; 6484: Linear system; 1334: Motor; 2492: Noise; 1255: Vehicle; 2554: Wind
• Subject Areas: Design; Environment; Highways; Vehicles and Equipment; I90: Vehicles; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01055027
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Aug 6 2007 2:21PM