P
Pierre Granjon
Researcher at University of Grenoble
Publications - 59
Citations - 1623
Pierre Granjon is an academic researcher from University of Grenoble. The author has contributed to research in topics: Condition monitoring & Fault (power engineering). The author has an hindex of 15, co-authored 58 publications receiving 1455 citations. Previous affiliations of Pierre Granjon include Centre national de la recherche scientifique & Grenoble Institute of Technology.
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Journal ArticleDOI
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
TL;DR: New models for the influence of rolling-element bearing faults on induction motor stator current are described, based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault.
Proceedings ArticleDOI
Models for bearing damage detection in induction motors using stator current monitoring
TL;DR: In this article, the influence of rolling-element bearing faults on induction motor stator current has been investigated and a new detailed approach is proposed based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault.
Journal ArticleDOI
Fast and automatic processing of multi-level events in nanopore translocation experiments
TL;DR: A method to analyze in detail, translocation events providing a novel and flexible tool for data analysis of nanopore experiments, based on the CUSUM algorithm, an abrupt change detection algorithm that provides fitting of current blockages, allowing the user to easily identify the different levels in each event.
Journal ArticleDOI
Space Vector Method for Voltage Dips and Swells Analysis
TL;DR: In this paper, a new method for voltage dips and swells analysis is presented based on the space vector representation in the complex plane and the zero-sequence voltage, which is used to determine the dip/swell time occurrence, to classify and finally characterize the measured power quality disturbance.
Spectral kurtosis: from definition to application
TL;DR: In this paper, the Spectral Kurtosis (SK) is proposed as a spectral analysis tool complementary to the classical power spectrum density (PSD) for spectral analysis of signals.