Results 81 to 90 of about 351,760 (158)
Effect of transient event frequency content and scale on the human detection of road surface type [PDF]
This paper describes two laboratory-based experiments which evaluate the effect of transient event frequency content and scale on the human detection of road surface type by means of steering wheel vibration.
Berber-Solano, TP, Giacomin, J
core
It is an effective method to diagnose the faults of gearbox through vibration measure. But usually the measured vibration signal is disturbed by the vibration of the other parts of vehicle when measure is taken on the vehicle. The gear tooth broken fault
乔新勇, 刘玮
doaj
Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT. [PDF]
Zhou X +5 more
europepmc +1 more source
Precision optical angular position marker system for rotating machinery [PDF]
An optical system is described which generates one or more markers of the angular shaft position of rotating machinery. The system consists of a light source, an optical cable, a machinery mounted lens assembly, a light detector, and a signal conditioner.
Barranger, J. P.
core +1 more source
Wireless fault tolerances decision using artificial intelligence technique [PDF]
Wireless techniques utilized in industrial applications face significant challenges in preventing noise, collision, and data fusion, particularly when wireless sensors are used to identify and classify fault in real time for protection.
Abu, A. B. H. +3 more
core
Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN-PE-SVD. [PDF]
Zhang F, Guo J, Yuan F, Shi Y, Li Z.
europepmc +1 more source
The gearbox vibration signal of normal and different degrees teeth break fault condition are analyzed,the chaotic characteristics of the gearbox vibration signal are verified by using the time synchronous averaging method( TSA) to separate the linear ...
Li Jie, Zhao Jianmin
doaj
Fault Diagnosis of Medium Voltage Circuit Breakers Based on Vibration Signal Envelope Analysis. [PDF]
Wu Y, Zhang J, Yuan Z, Chen H.
europepmc +1 more source
An Extremely Close Vibration Frequency Signal Recognition Using Deep Neural Networks
This study proposes the utilization of an optical fiber vibration sensor for detecting the superposition of extremely close frequencies in vibration signals. Integration of deep neural networks (DNN) proves to be meaningful and efficient, eliminating the
Mentari Putri Jati +5 more
doaj +1 more source
Detecting Helical Gearbox Defects from Raw Vibration Signal Using Convolutional Neural Networks. [PDF]
Lupea I, Lupea M.
europepmc +1 more source

