Prognostics of automotive electronics with data driven approach: A review

Ahsan, Mominul; Stoyanov, Stoyan; Bailey, C.

doi:10.1109/isse.2016.7563205

Cited by 17 publications

(12 citation statements)

References 28 publications

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“…They identified eight directions for the future of PHM based on integrating deep learning into it, including support for multi-component systems. [17,18,19] reviewed data-driven algorithms for PdM in automotive systems. More recently, [20] discussed the different probabilistic techniques used in PdM and noted that finding all possible states of long multivariate temporal data is computationally expensive.…”

Section: Related Workmentioning

confidence: 99%

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Ramezani¹,

Cummins²,

Killen³

et al. 2023

Preprint

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<ul> <li>This work summarizes the state-of-the-art data-driven methods for prediction of the Remaining Useful Life<br> (RUL)<br> </li> <li>It discusses challenges and open problems faced in PdM<br> </li> <li>This study presents a discussion on the new problems that need to be considered towards the Industry 4.0 goals<br> </li> <li>We propose the future direction for each challenge discussed in this article</li> </ul>

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Section: Related Workmentioning

confidence: 99%

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Ramezani¹,

Cummins²,

Killen³

et al. 2023

Preprint

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“…The data driven approach can realize predictions for RUL through statistical and probabilistic methods [4]. Models built for prognostics are focused on building computation models that learn a specific or holistic behavior of the system based on empirical sensor data.…”

Section: Fault Predictionmentioning

confidence: 99%

“…Implementing PHM on a system level at the design stage [3] as well as the qualification phase [1], can help solving most of the problems. PHM of electronic components and systems can offer competitive advantages as it improves performance, reliability, safety, maintainability and availability [4].…”

Section: Introductionmentioning

confidence: 99%

Prognostics and health monitoring of electronic system: A review

Prisacaru

Gromala

Jeronimo

et al. 2017

2017 18th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and

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Miniaturization of electronics, reduction of time to market and new functionalities in the current context of autonomous driving, electrification and connectivity, are bringing new reliability challenges. Prognostics and Health Management (PHM) can be used effectively to address some of the key challenges, in particular new challenges associated with the transfer of consumer electronics to automotive industry. The concept of PHM is not new, but its application to electronic systems is relatively new. It is expected that the PHM demand for electronic systems would continuously increase as autonomous driving is being realized. This paper attempts to summarize the recent studies in the system-level PHM of electronic systems. Condition monitoring (CM) techniques and prognostics methods used for the PHM of electronic systems are reviewed first. Various implementation examples are followed using different system classifications. The findings from this review is expected to offer a technical summary of accomplishments and challenges during the course of applying PHM for electronic systems, and to identify future research tasks to be performed to make the PHM a more viable tool for reliability assessment of electronic systems.

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“…For instance, fast inductive charging technology, which provides quick energy transfer, necessitates a gap of about 10-20 cm and approximately constant vertical and horizontal misalignments. In addition, it can be said that, to achieve dynamic charging, it is necessary to use only a wireless system [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…Another option for dynamic matching is to change the parameters of compensation elements [1,5,11,14,15]. Technically, it is appropriate to change the matching capacitor value in transmitting using electronic switches.…”

Section: Introductionmentioning

confidence: 99%

Flexibility of Wireless Power Transfer Charging Station Using Dynamic Matching and Power Supply with Energy Dosing

Madzharov

Hinov

2019

Applied Sciences

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The scientific and applied problems discussed in this paper are related to the development of a wireless charging station using an inductive power transfer (IPT) module power supply with energy dosing and dynamic matching. A computer simulation and an experimental study allowed the authors to define the ranges of the parameter variation of the equivalent load and to design the best matching so that maximum energy transfer is efficiency achieved. The proposed principle of energy control provides highly reliable and a flexible charging station even with a simplified system of automatic control and fault protection. A prototype charging station is developed and built to supply an inductive power transfer system that delivers 30–35 kW power over an air gap between transmitting and receiving parts measuring 50–200 mm and with a horizontal misalignment of ±200 mm. The results showed that the system can transfer the specified electrical power with about 82–92% efficiency and that the IPT module and its dynamic matching during charging exhibited a high degree of stability under a misaligned (x-y-z) condition and battery state of charge.

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Prognostics of automotive electronics with data driven approach: A review

Cited by 17 publications

References 28 publications

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Prognostics and health monitoring of electronic system: A review

Flexibility of Wireless Power Transfer Charging Station Using Dynamic Matching and Power Supply with Energy Dosing

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