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E. Peter Carden

Bio: E. Peter Carden is an academic researcher from University College Dublin. The author has contributed to research in topics: Added mass & Condition monitoring. The author has an hindex of 2, co-authored 2 publications receiving 1270 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Abstract: Vibration based condition monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics –in the time, frequency or modal domains –for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, monitoring systems have the potential to facilitate the more economical management and maintenance of modern infrastructure. This paper reviews the state of the art in vibration based condition monitoring with particular emphasis on structural engineering applications.

1,394 citations

Journal ArticleDOI
TL;DR: In this paper, a methodology for detecting added mass in structural systems maintaining a linear response is presented, which uses a single frequency response function measured at several frequencies along with a correlated analytical model of the structure in its original state to detect and quantify the added mass.
Abstract: A methodology is presented for detecting added mass in structural systems maintaining a linear response. A single frequency response function measured at several frequencies along with a correlated analytical model of the structure in its original state are used to detect and quantify the added mass. A computationally efficient method of recalculating a single frequency response function is utilized in the identification algorithm. Experimental results from a frame structure are presented to validate and assess the proposed approach.

20 citations


Cited by
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Journal ArticleDOI
TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
Abstract: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing...

1,613 citations

Journal ArticleDOI
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Abstract: Vibration based condition monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics –in the time, frequency or modal domains –for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, monitoring systems have the potential to facilitate the more economical management and maintenance of modern infrastructure. This paper reviews the state of the art in vibration based condition monitoring with particular emphasis on structural engineering applications.

1,394 citations

Book
02 Sep 2008
TL;DR: The state-of-the-art in the area of electronics prognostics and health management can be found in this article, where four current approaches include built-in-test (BIT), use of fuses and canary devices, monitoring and reasoning of failure precursors, and modeling accumulated damage based on measured life-cycle loads.
Abstract: There has been a growing interest in monitoring the ongoing "health" of products and systems in order to predict failures and provide warning to avoid catastrophic failure. Here, health is defined as the extent of degradation or deviation from an expected normal condition. While the application of health monitoring, also referred to as prognostics, is well established for assessment of mechanical systems, this is not the case for electronic systems. However, electronic systems are integral to the functionality of most systems today, and their reliability is often critical for system reliability. This paper presents the state-of-practice and the current state-of-research in the area of electronics prognostics and health management. Four current approaches include built-in-test (BIT), use of fuses and canary devices, monitoring and reasoning of failure precursors, and modeling accumulated damage based on measured life-cycle loads. Examples are provided for these different approaches, and the implementation challenges are discussed.

725 citations

Book
01 Jan 2008
TL;DR: In this paper, a physics of failure (PoF) based approach is proposed for the prediction of the future state of reliability of a system under its actual application conditions, which integrates sensor data with models that enable in situ assessment of the deviation or degradation of a product from an expected normal operating condition.
Abstract: Reliability is the ability of a product or system to perform as intended (i.e., without failure and within specified performance limits) for a specified time, in its life-cycle environment. Commonly used electronics reliability prediction methods (e.g., Mil-HDBK-217, 217-PLUS, PRISM, Telcordia, FIDES) based on handbook methods have been shown to be misleading and provide erroneous life predictions. The use of stress and damage models permits a far superior accounting of the reliability and the physics of failure (PoF); however, sufficient knowledge of the actual operating and environmental application conditions of the product is still required. This article presents a PoF-based prognostics and health management approach for effective reliability prediction. PoF is an approach that utilizes knowledge of a product's life-cycle loading and failure mechanisms to perform reliability modeling, design, and assessment. This method permits the assessment of the reliability of a system under its actual application conditions. It integrates sensor data with models that enable in situ assessment of the deviation or degradation of a product from an expected normal operating condition and the prediction of the future state of reliability. This article presents a formal implementation procedure, which includes failure modes, mechanisms, and effects analysis, data reduction and feature extraction from the life-cycle loads, damage accumulation, and assessment of uncertainty. Applications of PoF-based prognostics and health management are also discussed. Keywords: reliability; prognostics; physics of failure; design-for-reliability; reliability prediction

677 citations

Journal ArticleDOI
TL;DR: In this article, a general summary and review of state-of-the-art and development of vibration-based structural damage detection methods is presented, and the principle of intelligent damage diagnosis and its application prospects in structural damage detecting are introduced.

527 citations