Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders (Articolo in rivista) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Alternative label

• Carletti E.; Pedrielli F. (2011)
  Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders
  in International journal of occupational safety and ergonomics
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Carletti E.; Pedrielli F. (literal)

Pagina inizio

• 233 (literal)

Pagina fine

• 240 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 17 (literal)

Rivista

• International journal of occupational safety and ergonomics (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• ISSN 1080-3548 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 8 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 3 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Carletti Eleonora, Pedrielli Francesca Istituto IMAMOTER CNR (literal)

Titolo

• Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders (literal)

Abstract

• This paper describes the results of a study aimed at developing and validating a prediction model to assess the annoyance conditions at the operator station of compact loaders by using noise signal objective parameters only. For this purpose, binaural measurements were carried out on 41 compact loaders, both in stationary and real working conditions. The 62 binaural noise recordings were objectively analized in terms of acoustic and psychoacoustic parameters and then divided into 9 groups and used in specific jury tests to obtain the subjective annoyance scores. Finally, multiple regression technique was applied to the first 6 groups of noise stimuli to develop the model while the remaining groups were used to validate it. (literal)

Prodotto di

• Rumore e vibrazioni di mezzi mobili e loro sottosistemi (SP.P03.009.002) (Modulo)
• Istituto per le macchine agricole e movimento terra (IMAMOTER) (Istituto)

Autore CNR

• CAMILLA CASAZZA (Persona)
• FRANCESCA PEDRIELLI (Unità di personale interno)
• ELEONORA CARLETTI (Persona)

Insieme di parole chiave

• Parole chiave di "Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• FRANCESCA PEDRIELLI (Unità di personale interno)
• ELEONORA CARLETTI (Persona)
• CAMILLA CASAZZA (Persona)

Prodotto

• Istituto per le macchine agricole e movimento terra (IMAMOTER) (Istituto)
• Rumore e vibrazioni di mezzi mobili e loro sottosistemi (SP.P03.009.002) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• International journal of occupational safety and ergonomics (Rivista)

Insieme di parole chiave di

• Parole chiave di "Development and validation of a numerical prediction model to estimate the annoyance condition at the operation station of compact loaders" (Insieme di parole chiave)