Automotive IVHM: Towards Intelligent Personalised Systems Healthcare

Campean, Felician; Neagu, Daniel; Doikin, Aleksandr; Soleimani, Morteza; Byrne, Thomas J; Sherratt, Andrew

doi:10.1017/dsi.2019.90

Cited by 7 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Characteristics of complex automotive systems and SAE integrated vehicle health management capability levels12…”

Section: Introductionmentioning

confidence: 99%

“…10 In aerospace and automotive recommended practice JA6268, 11 a six-level reference scale is provided to define a prescriptive vehicle health capability guide. These levels are illustrated in Figure 1, 12 along with the evolution and decomposition of the automotive system as a system of systems. In the last two levels (vehicle level health management and self-adaptive health management), diagnostics and prognostics play the most important roles, 11 where Level 5 is the road map for complex automotive systems as a system of systems.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Diagnostics and prognostics for complex systems: A review of methods and challenges

Soleimani

Campean

Neagu

2021

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

Diagnostics and prognostics have a significant role in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that impact adversely their performability. This ever‐increasing complexity makes fault diagnostics and prognostics challenging for the system‐level functions. A significant number of successes have been achieved and acknowledged in some review papers; however, these reviews rarely focused on application to complex engineered systems nor provided a systematic review of diverse techniques and approaches to address the related challenges. To bridge the gap, this paper first presents a review to systematically cover the general concepts and recent development of various diagnostics and prognostics approaches, along with their strengths and shortcomings for the application of diverse engineered systems. Afterwards, given the characteristics of complex systems, the applicability of different techniques and methods that are capable to address the features of complex systems are reviewed and discussed, and some of the recent achievements in the literature are introduced. Finally, the unaddressed challenges are discussed by taking into account the characteristics of automotive systems as an example of complex systems. In addition, future development and potential research trends are offered to address those challenges. Consequently, this review provides a systematic view of the state‐of‐the‐art and case studies with a reference value for scholars and practitioners.

show abstract

“…Characteristics of complex automotive systems and SAE integrated vehicle health management capability levels12…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Diagnostics and prognostics for complex systems: A review of methods and challenges

Soleimani

Campean

Neagu

2021

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, the term cybertronic systems have been coined to define systems which interconnect computing and mechatronics (Eigner et al 2014). From a product design and development viewpoint, this reflects the organisational evolution towards multidisciplinarity, particularly due to the increased use of embedded computing and connectivity (Eigner et al 2016;Campean et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Functional modelling of complex multi-disciplinary systems using the enhanced sequence diagram

Yildirim

Campean

2020

Res Eng Design

Self Cite

View full text Add to dashboard Cite

This paper introduces an Enhanced Sequence Diagram (ESD) as the basis for a structured framework for the functional analysis of complex multidisciplinary systems. The ESD extends the conventional sequence diagrams (SD) by introducing a rigorous functional flow-based modelling schemata to provide an enhanced basis for model-based functional requirements and architecture analysis in the early systems design stages. The proposed ESD heuristics include the representation of transactional and transformative functions required to deliver the use case sequence, and fork and join nodes to facilitate analysis of combining and bifurcating operations on flows. A case study of a personal mobility device is used to illustrate the deployment of the ESD methodology in relation to three common product development scenarios: (i) reverse engineering, (ii) the introduction of a specific technology to an existent system; and (iii) the introduction of a new feature as user-centric innovation for an existing system, at a logical design level, without reference to any solution. The case study analysis provides further insights into the effectiveness of the ESD to support function modelling and functional requirements capture, and architecture development. The significance of this paper is that it establishes a rigorous ESD-based functional analysis methodology to guide the practitioner with its deployment, facilitating its impact to both the engineering design and systems engineering communities, as well as the design practice in the industry.

show abstract