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Lifetime Prediction for Bearings in Induction Motor
2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS), 2019Induction machines are commonly used in the industrial applications. They require continuous monitoring to prevent the premature failure, of which bearing faults account for most of the causes. The bearings in the rotary equipment tend to suffer fatigue failures during certain conditions such as load variation or electrical discharge.
Shu-Tzu Chang +3 more
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Predictive Evaluation of Fluorescent Lamp Lifetime
2009 IEEE Industry Applications Society Annual Meeting, 2009We have implemented a predictive experimental tool to determine fluorescent lamp lifetime according to its operating conditions. This tool, based on an electrical measurement, provides an indication of the physical state of fluorescent lamps electrodes (hot cathodes).
Buso, David +7 more
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Lifetime prediction on the base of mission profiles
Microelectronics Reliability, 2005Abstract Realistic mission profiles represent a challenge for the lifetime prediction of complex devices and systems. This paper proposes several examples where this problem has been solved by proper analysis of the stresses, by dedicated physical modeling, and by efficient calculation tools.
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Predicting route lifetime for maximizing network lifetime in MANET
2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET), 2012In wireless networks, generally nodes operate with batteries for its own normal operation like mobility, packet forwarding. These nodes tend to drain their energy even when it remains in idle mode. In MANETs, this exhaustion of energy will be more due to its infrastructureless nature and mobility.
C. Priyadharshini, K. ThamaraiRubini
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Critique of test methods for lifetime predictions
Dental Materials, 1995Failure predictions for ceramics depend on the experimental parameters that measure the strength distribution (m and sigma 0) and the time-dependency of strength (n). These parameters can be determined by measuring strength as a function of stressing rate in a test environment that simulates the service environment. To minimize the uncertainty in these
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Predicting lifetimes of materials and material structures
Dental Materials, 1995The mechanical strength of brittle materials under stress is of prime importance in applications where allowable design stress, lifetime, and reliability are critical issues. A proper analysis should enable an engineer to select an allowable design stress that will permit a brittle component to function for the expected lifetime with an acceptable low ...
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Predicting File Lifetimes with Machine Learning
2019In this article, we show how machine learning methods, namely random forests and convolutional neural networks, can be used to predict file lifetimes from their absolute path with a high reliability in an HPC filesystem context. The file lifetime is defined in this article as the time between the creation of the file and the last time it is read.
Florent Monjalet, Thomas Leibovici
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Predicting Fluorescence Lifetimes and Spectra of Biopolymers
2011Use of fluorescence in biology and biochemistry for imaging and characterizing equilibrium and dynamic processes is growing exponentially. Much progress has been made in the last few years on the microscopic understanding of the underlying principles of what controls the wavelength and quenching of fluorescence in biopolymers, both of which are central
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The challenge and opportunity of battery lifetime prediction from field data
Joule, 2021David Howey, Yen Yeh, Valentin Sulzer
exaly