Abstract Due to the complex space environment, spacecraft telemetry signals are accompanied by a large amount of noise, and accuracy fault diagnosis is low directly using original signals. This paper proposes method for control systems based on principal component analysis (PCA) residual network (ResNet). Firstly, grayscale images generated denoising signal system through PCA; Secondly, input i...

In this paper, we present a novel and effective fault detection diagnosis (FDD) method for wind energy converter (WEC) system with nominal power of 15 KW, which is designed to significantly reduce the complexity computation time possibly increase accuracy diagnosis. This strategy involves three significant steps: first, size reduction procedure applied training dataset, uses hierarchical K-mean...

In this paper, a fault detection and diagnosis for batch/semi-batch processes by utilizing the PCA scores subspace is proposed. To develop the diagnosis model, first the multi-way unfolding is utilised to transform 3-dimensional batches data onto 2dimensional data. The process of extracting linear and nonlinear correlations from process data is performed by sequentially applying a linear PCA an...

OBJECTIVE Ki-67 is a proliferation-associated nuclear antigen and is expressed in all cycling cells except for resting cells in the G0-phase. PCNA is an acidic nuclear protein and has been recognized as a histologic marker for the G1/S phase in the cell cycle. Ki-67and PCNA labeling indices are considered to reflect cell proliferation, particularly, growth fraction. The purpose of this study is...

Disparities between African American and Caucasian men in prostate cancer (PCa) diagnosis and treatment in the United States have been well established, with significant racial disparities documented at all stages of PCa management, from differences in the type of treatment offered to progression-free survival or death. These disparities appear to be complex in nature, involving biological dete...

Primary cicatricial alopecias (PCAs) are a rare, but important, group of disorders that cause irreversible damage to hair follicles resulting in scarring and permanent hair loss. They may also signify an underlying systemic disease. Thus, it is of paramount importance that clinicians who manage patients with hair loss are able to diagnose these disorders accurately. Unfortunately, PCAs are noto...