نتایج جستجو برای: condition monitoring techniques
تعداد نتایج: 1192059 فیلتر نتایج به سال:
The implementation into service of accelerometric health monitoring systems of mechanical power drives on helicopters has shown that the generation of false failure alarms is a critical issue. The paper presents a combined application of several multivariate statistical techniques and shows how a monitoring method which integrates these tools can be successfully exploited in order to improve th...
Background: Today’s production facilities must be efficient in both manufacturing and maintenance. Efficiency enables the company to maintain required output while reducing effort or costs. With increasing interest process automation Internet of things since Industry 4.0 was introduced, such shop floors are growing complexity. Every component needs continuously monitored, which is basis for pre...
Recently, a variety of wireless structural health monitoring systems have been demonstrated as viable substitutes for traditional high-cost tethered monitoring systems. In this study, a prototype wireless sensing system is deployed on the Voigt Bridge (La Jolla, CA) and a historical theatre (Detroit, MI) to validate its performance against cabled monitoring systems. Acceleration time history re...
68 October 2007 EngineerIT This article aims to automate such intuitive human skills for future sleeper inspections. Pattern recognition has been proposed for classification and results from sensors based on the abovementioned methods were fused to generate a single output condition. Final results achieved in this work indicate an overall classification rate of around 88% compared to the human ...
An initial investigation into the performance of acoustic condition monitoring in the detection of structural faults in turbine blades has been carried out. The focus is to design a non-contact condition monitoring method which might allow the detection of incipient faults in the turbine blades therefore preventing major breakdown and potentially reducing maintenance downtime. Such systems, may...
Continuous tracking of complex data analytics queries over high-speed distributed streams is becoming increasingly important. Query tracking can be reduced to continuous monitoring of a condition over the global stream. Communication-efficient monitoring relies on locally processing stream data at the sites where it is generated, by deriving site-local conditions which collectively guarantee th...
This project describes our approach for automating the calibration stage needed by the Factorial Switching Linear Dynamical System (FSLDS) for neonatal condition monitoring. Using observations collected by the monitoring equipment, the FSLDS proposed by Prof Christopher Williams and Dr John Quinn [22] is highly successful in inferring the probability distributions of both physiological and arti...
Within the frame of machinery maintenance, spectral analysis is a helpful tool. Therefore, an automatic spectral analysis tool, capable to identify each component of a measured signal would be of interest. This paper studies a new spectral analysis strategy for detecting, characterizing and classifying all spectral components of an unknown process. Indeed, any vibration signal can be considered...
Maintenance actions cannot be defined and undertaken in isolation from the business and production objectives of a typical company. They must be predicted and subsequently planned into the production schedule. Condition monitoring identifies changes within defined monitoring parameters to trigger maintenance. These changes when combined with engineering knowledge, historical data and other moni...
This paper presents the development of a condition monitoring method for wet friction clutches which might be useful for automatic transmission applications. The method is developed based on quantifying the change of the relative rotational velocity signal measured between the input and output shaft of a clutch. Prior to quantifying the change, the raw velocity signal is preprocessed to capture...
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