### Abstract

This paper presents a relative study on variable amplitude (VA) strain data distribution using the approach of probability density function (PDF) and power spectral density (PSD). PDF is a technique to identify the probability of the value falling within a particular interval, and a PSD is to measure the power of a signal by converting it from the time domain to the frequency domain. The objective of this study is to observe the applicability of both techniques in detecting the pattern behaviour in terms of energy and probability distribution. For this reason, a set of case study data consist of nonstationary VA pattern with a random behaviour was used. This kind of data was measured by fixing a strain gauge that connected to the strain data acquisition on the lower suspension arm of a mid-sized sedan car. The data was measured for 60 seconds at the sampling rate of 500 Hz, which gave 30,000 discrete points. The distribution of collected data was then calculated and analysed in the form of both PDF and PSD, and they were then compared for further analysis. The findings from this study are expected for determining the pattern behaviour that exists in VA strain signals.

Original language | English |
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Title of host publication | Key Engineering Materials |

Pages | 1115-1120 |

Number of pages | 6 |

Volume | 462-463 |

DOIs | |

Publication status | Published - 2011 |

Event | 8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010 - Kuala Lumpur Duration: 7 Jun 2010 → 9 Jun 2010 |

### Publication series

Name | Key Engineering Materials |
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Volume | 462-463 |

ISSN (Print) | 10139826 |

### Other

Other | 8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010 |
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City | Kuala Lumpur |

Period | 7/6/10 → 9/6/10 |

### Fingerprint

### Keywords

- Energy
- Power spectral density
- Probability distribution function
- Variable amplitude loadings

### ASJC Scopus subject areas

- Materials Science(all)
- Mechanics of Materials
- Mechanical Engineering

### Cite this

*Key Engineering Materials*(Vol. 462-463, pp. 1115-1120). (Key Engineering Materials; Vol. 462-463). https://doi.org/10.4028/www.scientific.net/KEM.462-463.1115

**Variable amplitude loading strains data distribution using probability density function and power spectral density.** / Lennie, A.; Mohd Nopiah, Zulkifli; Abdullah, Shahrum; Baharin, M. N.; Nuawi, Mohd. Zaki; Arifin, Azli.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Key Engineering Materials.*vol. 462-463, Key Engineering Materials, vol. 462-463, pp. 1115-1120, 8th International Conference on Fracture and Strength of Solids 2010, FEOFS2010, Kuala Lumpur, 7/6/10. https://doi.org/10.4028/www.scientific.net/KEM.462-463.1115

}

TY - GEN

T1 - Variable amplitude loading strains data distribution using probability density function and power spectral density

AU - Lennie, A.

AU - Mohd Nopiah, Zulkifli

AU - Abdullah, Shahrum

AU - Baharin, M. N.

AU - Nuawi, Mohd. Zaki

AU - Arifin, Azli

PY - 2011

Y1 - 2011

N2 - This paper presents a relative study on variable amplitude (VA) strain data distribution using the approach of probability density function (PDF) and power spectral density (PSD). PDF is a technique to identify the probability of the value falling within a particular interval, and a PSD is to measure the power of a signal by converting it from the time domain to the frequency domain. The objective of this study is to observe the applicability of both techniques in detecting the pattern behaviour in terms of energy and probability distribution. For this reason, a set of case study data consist of nonstationary VA pattern with a random behaviour was used. This kind of data was measured by fixing a strain gauge that connected to the strain data acquisition on the lower suspension arm of a mid-sized sedan car. The data was measured for 60 seconds at the sampling rate of 500 Hz, which gave 30,000 discrete points. The distribution of collected data was then calculated and analysed in the form of both PDF and PSD, and they were then compared for further analysis. The findings from this study are expected for determining the pattern behaviour that exists in VA strain signals.

AB - This paper presents a relative study on variable amplitude (VA) strain data distribution using the approach of probability density function (PDF) and power spectral density (PSD). PDF is a technique to identify the probability of the value falling within a particular interval, and a PSD is to measure the power of a signal by converting it from the time domain to the frequency domain. The objective of this study is to observe the applicability of both techniques in detecting the pattern behaviour in terms of energy and probability distribution. For this reason, a set of case study data consist of nonstationary VA pattern with a random behaviour was used. This kind of data was measured by fixing a strain gauge that connected to the strain data acquisition on the lower suspension arm of a mid-sized sedan car. The data was measured for 60 seconds at the sampling rate of 500 Hz, which gave 30,000 discrete points. The distribution of collected data was then calculated and analysed in the form of both PDF and PSD, and they were then compared for further analysis. The findings from this study are expected for determining the pattern behaviour that exists in VA strain signals.

KW - Energy

KW - Power spectral density

KW - Probability distribution function

KW - Variable amplitude loadings

UR - http://www.scopus.com/inward/record.url?scp=79551492148&partnerID=8YFLogxK

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U2 - 10.4028/www.scientific.net/KEM.462-463.1115

DO - 10.4028/www.scientific.net/KEM.462-463.1115

M3 - Conference contribution

AN - SCOPUS:79551492148

SN - 9780878492107

VL - 462-463

T3 - Key Engineering Materials

SP - 1115

EP - 1120

BT - Key Engineering Materials

ER -