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...

Full description

Saved in:
Bibliographic Details
Main Author: Handoko, Andreas
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