Lifecycle Data Analytics

Lifecycle Data Analytics is a systematic analytical methodology that distinguishes itself by enabling the continuous monitoring, prediction, and decision-making support throughout the stages of a product’s or system’s life cycle through the integration and interpretation of multi-source temporal, operational, and performance data.

22

Publications

2.4K

Citations

74

Authors

48

Institutions

Publications per year

2017–2026

8

Authors

74

  1. SC
    Seng Chong

    De Montfort University, United Kingdom

    2 publications · 139 citations

    2

    h-index

  2. XY
    Xiaoyu Yang

    Chinese Academy of Sciences, China

    2 publications · 139 citations

    2

    h-index

  3. WZ
    William Z. Bernstein

    National Institute of Standards and Technology, United States

    2 publications · 56 citations

    2

    h-index

  4. DK
    Dimitris Kiritsis

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 428 citations

    2

    h-index

  5. KR
    Karthik Ramani

    Purdue University West Lafayette, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 74

Venues

  1. Advanced Engineering Informatics

    3 publications · 471 citations

    3

    h-index

  2. Journal of Cleaner Production

    2 publications · 279 citations

    2

    h-index

  3. 2

    h-index

  4. CIRP Annals

    1 publications · 304 citations

    1

    h-index

  5. 1

    h-index

1–5