MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM
Frequency Response Function (FRF) is often used to solve modal analysis. Modal analysis is used to determine system parameters, such as mass, stiffness, and damping coefficient of a vibration system. This three parameters determination is used to detect the changing of mass, stiffness, or damping ba...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/72339 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
id |
id-itb.:72339 |
---|---|
spelling |
id-itb.:723392023-03-16T15:17:05ZMASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM Handoko, Andreas Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project FRF, mass, stiffness, damping, error, noise INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/72339 Frequency Response Function (FRF) is often used to solve modal analysis. Modal analysis is used to determine system parameters, such as mass, stiffness, and damping coefficient of a vibration system. This three parameters determination is used to detect the changing of mass, stiffness, or damping based on FRF testing curve. During FRF testing, signal from measurement often contains noise. Noise signal existence in FRF curve will cause inaccurate value of the three parameters. Noise signal can exist both in impulse force (input) and vibration response (output). Therefore, this research aims to estimate value of the three parameters for two different cases, that are noise in force signal (input) and noise on response signal (output). This research started with numerical simulation of one degree of freedom system using Runge-Kutta integration method. Then, the simulation result is compared with the analytic result. The analytical FRF curve is then extracted to estimate the value of the three parameters. The error of the three parameters is then determined with a hope that the error is less than 1%. Then, FRF simulation for noise in the input force and noise in the output response is conducted. Based on the research, it is obtained that value of the three system parameters are estimated very well in the case with no noise. However, if the noise presents, the three system parameters only successfully estimated if the noise presents in the input force, but has not succeeded in the case where noise presents in the output signal. text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
collection |
Digital ITB |
language |
Indonesia |
topic |
Teknik (Rekayasa, enjinering dan kegiatan berkaitan) |
spellingShingle |
Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Handoko, Andreas MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
description |
Frequency Response Function (FRF) is often used to solve modal analysis. Modal analysis is used to determine system parameters, such as mass, stiffness, and damping coefficient of a vibration system. This three parameters determination is used to detect the changing of mass, stiffness, or damping based on FRF testing curve. During FRF testing, signal from measurement often contains noise. Noise signal existence in FRF curve will cause inaccurate value of the three parameters. Noise signal can exist both in impulse force (input) and vibration response (output). Therefore, this research aims to estimate value of the three parameters for two different cases, that are noise in force signal (input) and noise on response signal (output).
This research started with numerical simulation of one degree of freedom system using Runge-Kutta integration method. Then, the simulation result is compared with the analytic result. The analytical FRF curve is then extracted to estimate the value of the three parameters. The error of the three parameters is then determined with a hope that the error is less than 1%. Then, FRF simulation for noise in the input force and noise in the output response is conducted.
Based on the research, it is obtained that value of the three system parameters are estimated very well in the case with no noise. However, if the noise presents, the three system parameters only successfully estimated if the noise presents in the input force, but has not succeeded in the case where noise presents in the output signal. |
format |
Final Project |
author |
Handoko, Andreas |
author_facet |
Handoko, Andreas |
author_sort |
Handoko, Andreas |
title |
MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
title_short |
MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
title_full |
MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
title_fullStr |
MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
title_full_unstemmed |
MASS, STIFFNESS, DAN DAMPING ESTIMATION FROM FRF GRAPHIC ON ONE DEGREE OF FREEDOM SYSTEM |
title_sort |
mass, stiffness, dan damping estimation from frf graphic on one degree of freedom system |
url |
https://digilib.itb.ac.id/gdl/view/72339 |
_version_ |
1822992556091244544 |