A Multi-channel Signal Fusion and Bayesian Theory Based Method for Tool Remaining Useful Life Prediction | Zendy

同时对每时刻剩余寿命进行迭代估计 | Zendy; 。 所提方法 可避免基于深度学习方法需要依赖大量全寿命数据离线训练预测模型且模型对新预测任务适应性有限的局限性 | Zendy; Yiwei Wang | Zendy; Lei Deng | Zendy; Lianyu Zheng | Zendy; Yahui Wang | Zendy; 、 切削参数等 | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Multi-channel Signal Fusion and Bayesian Theory Based Method for Tool Remaining Useful Life Prediction

Author(s) -

同时对每时刻剩余寿命进行迭代估计,

。所提方法可避免基于深度学习方法需要依赖大量全寿命数据离线训练预测模型且模型对新预测任务适应性有限的局限性,

Yiwei Wang,

Lei Deng,

Lianyu Zheng,

Yahui Wang,

、切削参数等

Publication year - 2021

Publication title -

journal of mechanical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.342

H-Index - 50

ISSN - 0577-6686

DOI - 10.3901/jme.2021.13.214

Subject(s) - bayesian probability , computer science , signal (programming language) , channel (broadcasting) , fusion , artificial intelligence , data mining , pattern recognition (psychology) , machine learning , algorithm , telecommunications , linguistics , philosophy , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research