Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Djoko Susilo Didik"'
Publikováno v:
E3S Web of Conferences, Vol 465, p 01027 (2023)
Early fault diagnosis of the induction motor can prevent sudden failure of the motor, which implies loss of production and sometimes brings safety problems. The purpose of this paper is to explore a method for induction motor fault diagnosis using a
Externí odkaz:
https://doaj.org/article/35cc3ac80c3c4d8b8f32892af5c3bfa7
Publikováno v:
E3S Web of Conferences, Vol 465, p 01024 (2023)
A BLDC motor is commonly used as the driver of an electric vehicle. So that this part becomes a critical component in the electric vehicle system. Any faults in the motor can cause the vehicle to not operate. Early detection of motor faults can avoid
Externí odkaz:
https://doaj.org/article/5c6e155c74d041d890bd09f8ace6b270
Autor:
Widodo Achmad, Prahasto Toni, Satrijo Djoeli, Setiyana Budi, Sugiyanto, Haryanto Ismoyo, Djoko Susilo Didik
Publikováno v:
MATEC Web of Conferences, Vol 159, p 02001 (2018)
This paper presents a proposal for machine health prognosis based on multi regime condition monitoring (CM) signals. The basis idea is performing deeply analysis of CM signals that possibly includes steady state signals – that is normal condition,
Externí odkaz:
https://doaj.org/article/a9e2d1cffa634d1b94932f802a0ba1f1