FAULTS DIAGNOSIS USING ON-SHAFT VIBRATION MEASUREMENT IN ROTATING MACHINES
نویسندگان
چکیده
منابع مشابه
Vibration Analysis of Rotating Shaft with Loose Disk
In this paper energy method is used to calculate rotor response with loose rotating disk on it. System equation of motion is obtained based on energy method and Lagrange equation. Mathematical modeling of loose disk in a rotor bearing system has resulted in terms similar to unbalance and gyroscopic effect in the system equation of motion. The effect of loose disk axial position and orthotropic ...
متن کاملRotating Shaft Tilt Angle Measurement Using an Inclinometer
This paper describes a novel measurement method to accurately measure the rotating shaft tilt angle of rotating machine for alignment or compensation using a dual-axis inclinometer. A model of the rotating shaft tilt angle measurement is established using a dual-axis inclinometer based on the designed mechanical structure, and the calculation equation between the rotating shaft tilt angle and t...
متن کاملDiagnosis for Rotating Shaft Using Adaptive Modal Parameter Identification Method
It's important to understand the dynamic behavior of a structure under operating condition from the view point of vibration shapes of a structure on well excited frequency components and accurate identification of amplitude on each point of a structure. Operating Deflection Shapes (ODSs) can be defined for nonlinear and non stationary structural motion. ODSs provide very useful information for ...
متن کاملSparsity-based Algorithm for Detecting Faults in Rotating Machines
This paper addresses the detection of periodic transients in vibration signals so as to detect faults in rotating machines. For this purpose, we present a method to estimate periodic-group-sparse signals in noise. The method is based on the formulation of a convex optimization problem. A fast iterative algorithm is given for its solution. A simulated signal is formulated to verify the performan...
متن کاملFault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. Vibration sensor signals collected from rotating mechanical systems are represente...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Conference on Applied Mechanics and Mechanical Engineering
سال: 2012
ISSN: 2636-4360
DOI: 10.21608/amme.2012.36923