Leading indicators for prognostic health management of electrical connectors subjected to random vibration

Lall, Pradeep; Sakalaukus, Peter; Lowe, Ryan; Goebel, Kai

doi:10.1109/itherm.2012.6231488

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…[3][4][5][6]. The RS method for prognostics has been applied to a variety of interconnect alloys ( [3][4][5][6]: SAC305, SnPb, and HiPb), interconnect geometries (copper columns [3][4][5][6], HiPb columns/microcoils [16]), and Molex computer connectors [17]. In this paper, the system being studied is SAC305 ball grid array interconnects.…”

Section: Rsmentioning

confidence: 99%

Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability

Lall

Lowe

Goebel

2013

Volume 1: Advanced Packaging; Emerging Technologies; Modeling and Simulation; Multi-Physics Based Reliability; MEMS and NEMS; M

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This paper compares three prognostic algorithms applied to the same data recorded during the failure of a solder joint in ball grid array component attached to a printed circuit board. The objective is to expand on the relative strengths and weaknesses of each proposed algorithm. Emphasis will be placed on highlighting differences in underlying assumptions required for each algorithm, details of remaining useful life calculations, and methods of uncertainty quantification. Metrics tailored specifically for Prognostic Health Monitoring (PHM) are presented to characterize the performance of predictions. The relative merits of PHM algorithms based on a Kalman filter, extended Kalman filter, and a particle filter all demonstrated on the same data set will be discussed. The paper concludes by discussing which algorithm performs best given the information available about the system being monitored.

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Section: Rsmentioning

confidence: 99%

Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability

Lall

Lowe

Goebel

2013

Volume 1: Advanced Packaging; Emerging Technologies; Modeling and Simulation; Multi-Physics Based Reliability; MEMS and NEMS; M

Self Cite

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“…RUL estimation of micro switches based on Bayesian updating and expectation maximization combined with strong tracking filtering was presented in [ 25 ], the failure threshold being based on the contact voltage drop between contacts once closed, which is directly related to the contact resistance. In [ 26 ], failure indicators based on the change of the electrical resistance of small size socket electrical connectors are applied to predict the RUL of such components based on random vibration tests carried out to produce fretting corrosion degradation. Resistance was measured by applying the resistance spectroscopy technique jointly with phase sensitive detection, and a Kalman filter was applied for estimating the health status of the socket connector.…”

Section: Introductionmentioning

confidence: 99%

On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance

Riba

Gómez-Pau

Martinez

et al. 2021

Sensors

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Connections are critical elements in power systems, exhibiting higher failure probability. Power connectors are considered secondary simple devices in power systems despite their key role, since a failure in one such element can lead to major issues. Thus, it is of vital interest to develop predictive maintenance approaches to minimize these issues. This paper proposes an on-line method to determine the remaining useful life (RUL) of power connectors. It is based on a simple and accurate model of the degradation with time of the electrical resistance of the connector, which only has two parameters, whose values are identified from on-line acquired data (voltage drop across the connector, electric current and temperature). The accuracy of the model presented in this paper is compared with the widely applied autoregressive integrated moving average model (ARIMA), showing enhanced performance. Next, a criterion to determine the RUL is proposed, which is based on the inflection point of the expression describing the electrical resistance degradation. This strategy allows determination of when the connector must be replaced, thus easing predictive maintenance tasks. Experimental results from seven connectors show the potential and viability of the suggested method, which can be applied to many other devices.

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“…RUL estimation of micro switches based on Bayesian updating and expectation maximization combined with strong tracking filtering was presented in [70], the failure threshold being based on the contact voltage drop between contacts once closed, which is directly related to the contact resistance. In [71], failure indicators based on the change of the electrical resistance of small size socket electrical connectors are applied to predict the RUL of such components based on random vibration tests carried out to produce fretting corrosion degradation. Resistance was measured by applying the resistance spectroscopy technique jointly with phase sensitive detection and a Kalman filter was applied for estimating the health status of the socket connector.…”

Section: Introductionmentioning

confidence: 99%

Remaining useful life and fault detection models for high voltage electrical connectors focused on predictive maintenance

Reyes¹

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In recent years, industries have chosen to invest in technology with the aim of making their processes more efficient and thus offering market products of higher quality. Nowadays it is very common for companies to use special systems to predict failures and avoid unexpected delays, reduction of costs, etc. SBI Connectors, along with the Universitat Politècnica de Catalunya, have been collaborating to develop research projects for more than 10 years. As a result of the collaboration with the university, patents and international publications have been generated, which have helped to situate and reinforce SBI Connectors leadership in the international market while offering an image of scientific-technical credibility. This research is carried out, with the collaboration of SBI connectors and Universitat Politècnica de Catalunya, in order to develop the Smartconnector project (within the Retos de Colaboración Spanish research frame). The thesis proposed by the author is dedicated to develop and validate RUL (Remaining Useful Life) and fault detection approaches for electrical substation connectors. The RUL approach proposed in this work is based on a simple and accurate model of the degradation with time of the electrical resistance of the connector (main health indicator), which has two parameters, whose values are identified from on-line acquired data. Next, the fault detection chapter is divided into two parts. The first part presents an on-line condition monitoring method to predict early failures in power connectors from on-line acquired data in conjunction with another parametric degradation model of the resistance of the connector, whose parameters are identified by means of the Markov chain Monte Carlo stochastic method. The second part presents, analyzes and compares the performance of three simple and effective methods for online determination of the State of Health (SoH) of power connectors with low computational requirements. The proposed approaches are based on monitoring the evolution of the connectors’ electrical resistance, which determines the degradation trajectory. Furthermore, this work includes an in-depth study of the temperature dependence of the electrical contact resistance (ECR). To analyze and validate results presented in this work, data is acquired in real time, including main parameters such as the electrical current and voltage drop across the terminals of the connector, conductor and connector temperature, thus estimating the phase shift between voltage drop and electrical current waveforms and the contact resistance by means of accelerated aging tests (ADT). En los últimos años, la industria ha optado por invertir en tecnología con el objetivo de hacer más eficientes sus procesos y así ofrecer al mercado productos de mayor calidad. Hoy en día es muy habitual que las empresas utilicen sistemas especiales para predecir fallos y evitar retrasos inesperados, reducción de costes, etc. SBI connectors, junto con la Universitat Politècnica de Catalunya, colaboran para desarrollar proyectos de investigación desde hace más de 10 años. Fruto de la colaboración con la universidad se han generado patentes y publicaciones internacionales, que han ayudado a situar y reforzar el liderazgo de SBI Connectors en el mercado internacional, al tiempo que ofrece una imagen de credibilidad científico-técnica. Esta tesis doctoral se realiza con la colaboración de SBI connectors y la Universitat Politècnica de Catalunya, para desarrollar el proyecto Smartconnector (dentro del marco de investigación Retos de Colaboración). La tesis propuesta por el autor está dedicada a desarrollar y validar modelos de RUL (Remaining Useful Life) y detección de fallos para conectores de subestaciones eléctricas enfocador al mantemiento predictive. El enfoque RUL propuesto en este trabajo se basa en un modelo simple y preciso de la degradación de la resistencia eléctrica del conector respecto al tiempo (indicador principal de salud), el cual tiene dos parámetros cuyos valores se identifican a partir de datos adquiridos en línea. A continuación, el capítulo de detección de fallos se divide en dos partes. En la primera parte se presenta un método de monitoreo en línea de condición para predecir fallos tempranos en conectores de potencia a partir de datos adquiridos en línea en conjunto con otro modelo paramétrico de degradación de la resistencia del conector, cuyos parámetros son identificados por medio del algoritmo de Markov Chain Monte Carlo. La segunda parte presenta, analiza y compara las prestaciones de tres métodos simples y efectivos para la determinación en línea del Estado de Salud (SoH) de conectores de potencia con bajos requerimientos computacionales. Los enfoques propuestos se basan en el seguimiento de la evolución de la resistencia eléctrica de los conectores, que determina la trayectoria de degradación. Además, este trabajo incluye un estudio en profundidad de la dependencia de la temperatura de la resistencia eléctrica de contacto (ECR). Para analizar y validar todo el trabajo presentado, se adquieren datos en tiempo real, incluyendo parámetros principales como la corriente eléctrica y la caída de tensión en los terminales del conector, la temperatura del conductor y del conector, estimando así el desfase entre la caída de tensión y la tensión eléctrica, forma de onda de corriente y la resistencia de contacto por medio de ensayos de envejecimiento acelerado (ADT).

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Leading indicators for prognostic health management of electrical connectors subjected to random vibration

Abstract: In this paper a lead ing indicators of failure has been developed to monitor the progression of fretting corrosion in electrical connectors and prognosticate remaining useful life.

Cited by 6 publications

References 23 publications

Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability

Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability

On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance

Remaining useful life and fault detection models for high voltage electrical connectors focused on predictive maintenance

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