Vibration-based damage detection of structure's joints in presence of uncertainty

Hussein Razzaq Sabah Al-Bugharbee, Ali Abolfathi, Irina Trendafilova

Research output: Contribution to conferencePaper

Abstract

Early damage detection of structure’s joints is essential in order to ensure the integrity of structures. Vibration-based methods are the most popular way of diagnosing damage in machinery joints. Any technique that is used for such a purpose requiers dealing with the variability inherent to the system due to manufacturing tolérances, environnemental conditions or aging. The level of variability in vibrational response can be very high for mass-produced complex structures that possess a large number of components. In this study, a simple and efficient time frequency method is proposed for detection of damage in connecting joints. The method suggests using singular spectrum analysis for building a reference space from the signals measured on a healthy structure and then compares all other signals to that reference space in order to detect the presence of faults. A model of two plates connected by a series of mounts is used to examine the effectiveness of the method where the uncertainty in the mount properties is taken into account to model the variability in the built-up structure. The motivation behind the simplified model is to identify the faulty mounts in trim-structure joints of an automotive vehicle where a large number of simple plastic clips are used to connect the trims to the vehicle structure.

Conference

ConferenceInternational Conference on Engineering Vibration
2017 (ICoEV 2017)
CountryBulgaria
CitySofia
Period4/09/177/09/17

Fingerprint

Damage detection
Spectrum analysis
Machinery
Aging of materials
Plastics
Uncertainty

Keywords

  • vibration-based damage detection
  • damage detection

Cite this

Al-Bugharbee, H. R. S., Abolfathi, A., & Trendafilova, I. (2017). Vibration-based damage detection of structure's joints in presence of uncertainty. Paper presented at International Conference on Engineering Vibration
2017 (ICoEV 2017), Sofia, Bulgaria.
Al-Bugharbee, Hussein Razzaq Sabah ; Abolfathi, Ali ; Trendafilova, Irina. / Vibration-based damage detection of structure's joints in presence of uncertainty. Paper presented at International Conference on Engineering Vibration
2017 (ICoEV 2017), Sofia, Bulgaria.6 p.
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title = "Vibration-based damage detection of structure's joints in presence of uncertainty",
abstract = "Early damage detection of structure’s joints is essential in order to ensure the integrity of structures. Vibration-based methods are the most popular way of diagnosing damage in machinery joints. Any technique that is used for such a purpose requiers dealing with the variability inherent to the system due to manufacturing tol{\'e}rances, environnemental conditions or aging. The level of variability in vibrational response can be very high for mass-produced complex structures that possess a large number of components. In this study, a simple and efficient time frequency method is proposed for detection of damage in connecting joints. The method suggests using singular spectrum analysis for building a reference space from the signals measured on a healthy structure and then compares all other signals to that reference space in order to detect the presence of faults. A model of two plates connected by a series of mounts is used to examine the effectiveness of the method where the uncertainty in the mount properties is taken into account to model the variability in the built-up structure. The motivation behind the simplified model is to identify the faulty mounts in trim-structure joints of an automotive vehicle where a large number of simple plastic clips are used to connect the trims to the vehicle structure.",
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language = "English",
note = "International Conference on Engineering Vibration<br/>2017 (ICoEV 2017) ; Conference date: 04-09-2017 Through 07-09-2017",

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Al-Bugharbee, HRS, Abolfathi, A & Trendafilova, I 2017, 'Vibration-based damage detection of structure's joints in presence of uncertainty' Paper presented at International Conference on Engineering Vibration
2017 (ICoEV 2017), Sofia, Bulgaria, 4/09/17 - 7/09/17, .

Vibration-based damage detection of structure's joints in presence of uncertainty. / Al-Bugharbee, Hussein Razzaq Sabah; Abolfathi, Ali ; Trendafilova, Irina.

2017. Paper presented at International Conference on Engineering Vibration
2017 (ICoEV 2017), Sofia, Bulgaria.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Vibration-based damage detection of structure's joints in presence of uncertainty

AU - Al-Bugharbee, Hussein Razzaq Sabah

AU - Abolfathi, Ali

AU - Trendafilova, Irina

PY - 2017/11/29

Y1 - 2017/11/29

N2 - Early damage detection of structure’s joints is essential in order to ensure the integrity of structures. Vibration-based methods are the most popular way of diagnosing damage in machinery joints. Any technique that is used for such a purpose requiers dealing with the variability inherent to the system due to manufacturing tolérances, environnemental conditions or aging. The level of variability in vibrational response can be very high for mass-produced complex structures that possess a large number of components. In this study, a simple and efficient time frequency method is proposed for detection of damage in connecting joints. The method suggests using singular spectrum analysis for building a reference space from the signals measured on a healthy structure and then compares all other signals to that reference space in order to detect the presence of faults. A model of two plates connected by a series of mounts is used to examine the effectiveness of the method where the uncertainty in the mount properties is taken into account to model the variability in the built-up structure. The motivation behind the simplified model is to identify the faulty mounts in trim-structure joints of an automotive vehicle where a large number of simple plastic clips are used to connect the trims to the vehicle structure.

AB - Early damage detection of structure’s joints is essential in order to ensure the integrity of structures. Vibration-based methods are the most popular way of diagnosing damage in machinery joints. Any technique that is used for such a purpose requiers dealing with the variability inherent to the system due to manufacturing tolérances, environnemental conditions or aging. The level of variability in vibrational response can be very high for mass-produced complex structures that possess a large number of components. In this study, a simple and efficient time frequency method is proposed for detection of damage in connecting joints. The method suggests using singular spectrum analysis for building a reference space from the signals measured on a healthy structure and then compares all other signals to that reference space in order to detect the presence of faults. A model of two plates connected by a series of mounts is used to examine the effectiveness of the method where the uncertainty in the mount properties is taken into account to model the variability in the built-up structure. The motivation behind the simplified model is to identify the faulty mounts in trim-structure joints of an automotive vehicle where a large number of simple plastic clips are used to connect the trims to the vehicle structure.

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Al-Bugharbee HRS, Abolfathi A, Trendafilova I. Vibration-based damage detection of structure's joints in presence of uncertainty. 2017. Paper presented at International Conference on Engineering Vibration
2017 (ICoEV 2017), Sofia, Bulgaria.