Analyzing and interpreting condition of the rotating machine system by processing measured vibration parameters
Bastakoti, Satish (2019)
Diplomityö
2019
School of Energy Systems, Konetekniikka
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019120245257
https://urn.fi/URN:NBN:fi-fe2019120245257
Tiivistelmä
The condition of the rotating machine deteriorates during its operation due to reasons such as installation defects, wear, and tear, poor lubrication, excessive operational loads, etc. It leads to faults or failure of rotating machine or its components. These developing faults or failures can be detected and identified through analysis of vibration parameters and their interpretation. This helps to know the condition of the rotating machine. It is done to protect the machine and the components, personnel and do predictive maintenance.
This study focuses on finding required vibration parameters to be measured, the appropriate sensors used for measuring, proper mounting locations, data formats and transferring of measurement data for needed processing. It looks at how these processed measurement data are analyzed using different techniques to interpret the condition of the rotating machines. As a case study for the project, the measurements of vibration parameters from an induction motor were processed and analyzed to identify the location and magnitude of single plane residual unbalance. The objective was to use unbalance information to verify the dynamics of the studied motor by comparing the measured and simulated displacement of rotor through its numerical finite element model.
The absolute radial vibration of nonrotating part, absolute or relative, radial or axial displacement vibration, phase reference and rotation speeds of rotating part are required vibration parameters. The accelerometers or velocity sensors are used to measure absolute vibration. The displacement sensors are used to measure the relative displacement of rotating parts. Optical or inductive or eddy current based transducer are used to measure phase reference and rotation speed. The bearing housing is one appropriate location to measure the vibration parameters. Signal analysis techniques in the time and frequency domain are used to interpret the state of the machine. The dynamics of the motor could not be verified with single plane unbalance for all the measured speeds through numerical method.
This study focuses on finding required vibration parameters to be measured, the appropriate sensors used for measuring, proper mounting locations, data formats and transferring of measurement data for needed processing. It looks at how these processed measurement data are analyzed using different techniques to interpret the condition of the rotating machines. As a case study for the project, the measurements of vibration parameters from an induction motor were processed and analyzed to identify the location and magnitude of single plane residual unbalance. The objective was to use unbalance information to verify the dynamics of the studied motor by comparing the measured and simulated displacement of rotor through its numerical finite element model.
The absolute radial vibration of nonrotating part, absolute or relative, radial or axial displacement vibration, phase reference and rotation speeds of rotating part are required vibration parameters. The accelerometers or velocity sensors are used to measure absolute vibration. The displacement sensors are used to measure the relative displacement of rotating parts. Optical or inductive or eddy current based transducer are used to measure phase reference and rotation speed. The bearing housing is one appropriate location to measure the vibration parameters. Signal analysis techniques in the time and frequency domain are used to interpret the state of the machine. The dynamics of the motor could not be verified with single plane unbalance for all the measured speeds through numerical method.