Topic
Condition monitoring
About: Condition monitoring is a research topic. Over the lifetime, 13911 publications have been published within this topic receiving 201649 citations.
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TL;DR: In this paper, the authors describe the development and testing of a strategy for vibration-based online detection of faults in a particular class of machinery, defined by two basic characteristics that preclude it from the application of standard online condition monitoring systems.
82 citations
TL;DR: On‐going research to develop and validate a smart pavement monitoring system that mainly consists of a novel self‐powered wireless sensor based on the integration of piezoelectric transduction with floating‐gate injection capable of detecting, storing, and transmitting strain history for long‐term monitoring and a novel passive temperature gauge.
Abstract: : Currently, pavement instrumentation for condition monitoring is done on a localized and short-term basis. Existing technology does not allow for continuous long-term monitoring and network level deployment. Long-term monitoring of mechanical loading for pavement structures could reduce maintenance costs, improve longevity, and enhance safety. In this article, on-going research to develop and validate a smart pavement monitoring system is described. The system mainly consists of a novel self-powered wireless sensor based on the integration of piezoelectric transduction with floating-gate injection capable of detecting, storing, and transmitting strain history for long-term monitoring and a novel passive temperature gauge. A technique for estimating full-field strain distributions using measured data from a limited number of implemented sensors is also described. The ultimate purpose is to incorporate the traffic wander effect in the fatigue prediction algorithms. Preliminary results are shown and limitations are discussed.
82 citations
19 Mar 2006
TL;DR: In this article, a simple system that can be used for autonomous demand-side management in a load site such as a home or commercial facility is described, which identifies the operation of individual loads using transient patterns observed in the voltage waveform measured at an electric service outlet.
Abstract: This paper describes a simple system that can be used for autonomous demand-side management in a load site such as a home or commercial facility. The system identifies the operation of individual loads using transient patterns observed in the voltage waveform measured at an electric service outlet. The theoretical foundation of the measurement process is introduced, and a preprocessor that computes short-time estimates of the spectral content of the voltage waveform is described. The paper presents several example measurements demonstrating the ability of the system to obtain estimates of the spectral content of the voltage waveform.
82 citations
TL;DR: A novel approach that synthesizes the T2 and Q statistics for statistical process condition monitoring is introduced that can be more sensitive to detect abnormal process behaviour than the individual statistics and reduces the number of monitoring charts to be observed.
82 citations
TL;DR: The experimental results prove the efficiency of pattern recognition methods in condition monitoring of electrical machines.
82 citations