Author
Consolatina Liguori
Other affiliations: University of Cassino
Bio: Consolatina Liguori is an academic researcher from University of Salerno. The author has contributed to research in topics: Measurement uncertainty & Fault detection and isolation. The author has an hindex of 28, co-authored 176 publications receiving 2374 citations. Previous affiliations of Consolatina Liguori include University of Cassino.
Papers published on a yearly basis
Papers
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TL;DR: A number of tests carried out on small-size three-phase asynchronous motors highlight the excellent promptness in detecting faults, low false alarm rate, and very good diagnostic performance.
Abstract: A DSP-based measurement system dedicated to the vibration analysis on rotating machines was designed and realized. Vibration signals are on-line acquired and processed to obtain a continuous monitoring of the machine status. In case of a fault, the system is capable of isolating the fault with a high reliability. The paper describes in detail the approach followed to built up fault and non-fault models together with the chosen hardware and software solutions. A number of tests carried out on small-size three-phase asynchronous motors highlight the excellent promptness in detecting faults, low false alarm rate, and very good diagnostic performance.
155 citations
TL;DR: The problem of evaluating the uncertainty that characterises discrete Fourier transform output data is dealt with, using a method based on a ‘white box’ theoretical approach, which can be particularly useful for any designer and user of DFT-based instruments.
107 citations
TL;DR: An automatic system for the measurement of carotid intima-media thickness (IMT) that is based on the digital processing of ultrasound images and an analytical approach is used to estimate the intrinsic accuracy of the system.
Abstract: This paper presents an automatic system for the measurement of carotid intima-media thickness (IMT) that is based on the digital processing of ultrasound images. The measurement technique is described in detail, highlighting the advantages compared to other methods and, reporting some experimental results. Finally, an analytical approach is used to estimate the intrinsic accuracy of the system.
101 citations
TL;DR: The hybrid solution, based on artificial neural networks (ANNs), and the production rule adopted in the realization of an instrument fault detection, isolation, and accommodation scheme for automotive applications are described.
Abstract: This paper describes the hybrid solution, based on artificial neural networks (ANNs), and the production rule adopted in the realization of an instrument fault detection, isolation, and accommodation scheme for automotive applications. Details on ANN architectures and training are given together with diagnostic and dynamic performance of the scheme.
89 citations
01 Jan 1999
TL;DR: The problem of uncertainty analysis in digital signal processing algorithms is discussed, proposing a method based on a 'white box' approach that has a practical application to some common algorithms for measurements on periodic signals.
Abstract: The problem of uncertainty analysis in digital signal processing algorithms is discussed, proposing a method based on a 'white box' approach. A theoretical uncertainty estimation is carried out first; its results are then confirmed by both simulation and experimental tests. The characteristics of the method are highlighted by means of a practical application to some common algorithms for measurements on periodic signals.
72 citations
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01 Jan 2004
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Abstract: From the Publisher:
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.
3,627 citations
TL;DR: This paper presents a meta-analyses of Fourier-Transform Profilometry and its applications in 3-D Shape Measurement and Surface Profile Measurement for Structured Light Pattern and 4-Core Optical-Fiber.
1,110 citations
TL;DR: A novel anomaly detection algorithm is proposed that is based on an online sequence memory algorithm called Hierarchical Temporal Memory (HTM) and presented using the Numenta Anomaly Benchmark (NAB), a benchmark containing real-world data streams with labeled anomalies.
693 citations
TL;DR: In this article, a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology is presented. And a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors is provided.
Abstract: Condition monitoring of induction motors is a fast emerging technology for online detection of incipient faults. It avoids unexpected failure of a critical system. Approximately 30-40% of faults of induction motors are stator faults. This work presents a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology. It is aimed at providing a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors. A list of 183 research publications on the subject is appended for quick reference.
541 citations