A comparison of fault diagnosis systems based on Dynamic Principal Component Analysis (DPCA) method and Artificial Neural Networks (ANN) under the same experimental data is presented. Both approaches are process history based methods which do not assume any form of model structure, and rely only on process historical data. The comparative analysis shows the online performance of both approaches...

It has recently been suggested by Mu et al. [Proteins 58, 45 (2005)] to use backbone dihedral angles instead of Cartesian coordinates in a principal component analysis of molecular dynamics simulations. Dihedral angles may be advantageous because internal coordinates naturally provide a correct separation of internal and overall motion, which was found to be essential for the construction and i...

A fundamental algorithm for data analytics at the edge of wireless networks is distributed principal component analysis (DPCA), which finds most important information embedded in a high-dimensional dataset by computation reduced-dimension subspace, called components (PCs). In this paper, to support one-shot DPCA systems, we propose framework analog MIMO transmission featuring uncoded local PCs ...

This paper investigates two methods for GMTI using three-channel SAR-ATI data. Motivated by previous results in the two-channel case, a deterministic method for finding an Eigendecomposition of the SAR-ATI sample covariance matrix is presented. The CFAR detection capability of each of the eight parameters of the Eigendecomposition is evaluated using measured three-channel airborne data and comp...

As part of the preparatory work for the RADARSAT-2 moving object detection experiment (MODEX special operating mode), an airborne experiment was conducted at Canadian Forces Base Petawawa in July 1999 to study synthetic aperture radar (SAR) along-track interferometry (ATI) and SAR displaced phase centre antenna (DPCA) as candidate measurement techniques. The CV 580 SAR system operated by Enviro...

We define a new automaton, the Deterministic Periodic Countable Automaton (DPCA). We prove properties of the languages expressable by DPCAs (which we call Countably Regular languages). In particular, we give examples of languages that are (and are not) countably regular, explore closure properties of countably regular languages, and develop a variant of regular expressions that express the coun...

The concept of radar satellite constellations has been proposed in the literature and is currently under research. These constellations possess the wide angular coverage necessary for performing spaceborne MTI and the spatial sampling necessary for wide-area SAR. However, the constellations form arrays that are sparsely populated, three-dimensional, and irregularly spaced. Therefore, current SA...

Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...

In this paper, Hotelling’s 2 T chart and the DPCA(Dynamic PCA)-based 2 A T and Q charts are applied to real oil data histories obtained from condition monitoring of heavy hauler truck transmissions. The objective is to evaluate the impending failure detection capability and the false alarm rate of the control charts in a CBM (conditionbased maintenance) application. When applied to failure hist...