An Illustration of some methods to detect faults in geared systems using a simple model of two meshed gears
MetadataShow full item record
Gears are the components in many mechanical systems that are likely to develop faults due to their dynamic characteristics, such as the cyclic loading applied to the meshing teeth. The main faults in gears are pitting and scuffing, where the tooth profile (involute) is heavily affected, and hence, signal processing techniques have been developed to aid in the detection of gear faults in their early stages. It is already known that the dynamic behaviour of a mechanical system changes when its characteristics are affected (such as in the presence of a fault), and as a result, the vibration of such a system can be used to detect a fault in its early stage. To investigate and develop techniques based on vibration analysis, a physical understanding of the system involving meshing gears is required. In this chapter, a model is introduced that can be used for simulating vibration data of toothed meshing gears. The data generated by the simulations is then used to investigate some classic techniques used in gear fault detection problems.
How to cite this document
Showing items related by title, author, creator and subject.
Pinho, Sheila Zambello de ; Oliveira, José Brás Barreto de ; Gazola, Rodrigo José Cristiano ; Mazotti, Adriano César ; Molero, Camila Schimite ; Mendes, Carolina Borghi ; Mello, Denise Fernandes de ; Marques, Emilia de Mendonça Rosa ; Talamoni, Jandira Liria Biscalquini ; Silva, José Humberto Dias da et al. (Coleção PROGRAD (UNESP), 2011) [Livro]
Pinho, Sheila Zambello de ; Oliveira, José Brás Barreto de ; Pontes, Sueli Rodrigues ; Almeida, Djanira Soares de Oliveira e ; Godoy, Kathya Maria Ayres de ; Rosa, Claudia de Souza ; Nunes, Julianus Araújo ; Salvador, Sérgio Azevedo ; David, Célia Maria ; Vilche Peña, Angel Fidel et al. (Coleção PROGRAD (UNESP), 2011) [Livro]
Pinho, Sheila Zambello de ; Spazziani, Maria de Lourdes ; Mendonça, Sueli Guadelupe de Lima ; Rubo, Elisabete Aparecida Andrello ; Villarreal, Dalva Maria de Oliveira ; Duarte, Camila ; Okamoto, Mary Yoko ; Souza, Thais R. ; Garms, Gilza Maria Zauhy ; Marin, Fátima Aparecida Dias Gomes et al. (Coleção PROGRAD (UNESP), 2012) [Livro]