Skip to content
View foryichuanqi's full-sized avatar

Block or report foryichuanqi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN Public

    The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and I…

    Python 49 2

  2. ADVEI-Paper-2023.11-Zero-shot-fault-diagnosis-by-attribute-fusion-transfer ADVEI-Paper-2023.11-Zero-shot-fault-diagnosis-by-attribute-fusion-transfer Public

    Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot fault diagnosis

    Python 21

  3. ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation Public

    Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can …

    Python 10

  4. TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet Public

    Paper: Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers. We proposed a highly easy-to-use performance enhancement framework called multi-scale ensemble booster(MEB), helping exis…

    Python 7

  5. scikit-learn scikit-learn Public

    Forked from scikit-learn/scikit-learn

    scikit-learn: machine learning in Python

    Python

  6. IEEE-CAA-paper-2025-Multi-interval-aggregation-failure-point-approximation-for-RUL-prediction IEEE-CAA-paper-2025-Multi-interval-aggregation-failure-point-approximation-for-RUL-prediction Public