Shichang Du

TL;DR: This paper addresses recent advances in PHM for advanced manufacturing paradigms to forecast health trends, avoid production breakdowns, reduce maintenance cost and achieve rapid decision-making.

TL;DR: Li et al. as discussed by the authors proposed a double-layer attention based adversarial network (DA-GAN) to deal with the question where to transfer by constructing two attention matrices for domains and samples, which could guide the model to know which parts of data should be concentrated or ignored before conducting domain adaptation.

TL;DR: A hybrid approach by integrating wavelet transform and improved particle swarm optimization-based support vector machine (P-SVM) for on-line recognition of concurrent CCPs is developed in this paper and results are provided to demonstrate that the proposed approach can perform effectively and efficiently in on- line CCP recognition task.

TL;DR: Wang et al. as mentioned in this paper proposed a spherical multi-output Gaussian process (S-MOGP) method to model and monitor 3D surfaces, where the surface in the 3D coordinate system is mapped to the spherical 2D parameter domain.

TL;DR: In this paper, an improved particle swarm optimisation with simulated annealing-based selective multiclass support vector machines ensemble (PS-SVME) approach was proposed to classify the source(s) of process mean shifts in multivariate control charts.