In this paper, we proposed a new robust method for bearing performance degradation assessment based on multi-kernel SVDD, and designed a new index with hyper- ...

We propose a novelty degradation assessment method for machinery and equipment based on the multi-kernel SVDD. In the method, the SVDD model was trained ...

A new robust method for bearing performance degradation assessment based on multi-kernel SVDD is proposed, and a new index with hyper-sphere radius is ...

SVDD was used to assess the performance according to the data from a single sensor, and the performance assessment results based on multi-sensor were sent to ...

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis. Mechanical ...

A Front Tracking Method Based on Runge-Kutta Discontinuous Galerkin Methods. ... A novelty degradation assessment method for equipment based on multi-kernel SVDD.

... degradation assessment based on the rough support vector data description ... A novelty degradation assessment method for equipment based on multi-kernel SVDD.

A novelty degradation assessment method for equipment based on multi-kernel SVDD ( YZ , YS , XZ , YZ ), pp. 753–756.

This paper proposes a systematic approach for novelty detection of mechanical components, using support vector data description (SVDD), a kernel approach for ...

System Dynamics Simulation and Countermeasure Analysis of Food Safety ... A novelty degradation assessment method for equipment based on multi-kernel SVDD.