A method of test points optimization selection based on improved bacterial foraging algorithm

Hou, Wenkui; Zhang, Zhiming

doi:10.1109/phm.2016.7819935

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…To follow the above principles, the selection of feature parameters includes the following two ideas. The first one is to convert the selection of test points into an objective optimization problem with constraints from the testability point of view [57][58][59], using algorithms such as greedy algorithms, or heuristic search algorithms, such as particle swarm algorithms and ant colony algorithms to find the best. Afterwards, the information collected from the optimized test points is used to form the final set of feature parameters.…”

Section: Health Assessmentmentioning

confidence: 99%

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

et al. 2023

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The reliability and safety of launch vehicle launch missions might be effectively increased thanks to the fault prediction and health management (PHM) technology of engines, which could also improve with problem diagnostics and decrease the cost of operation and maintenance overhaul. This paper combines the equipment characteristics and the current state of safeguarding for large, complex space systems, introduces the intelligent launch vehicle engine PHM technology methods that are being gradually implemented in space systems, and discusses and compares fault detection and health assessment techniques. Subsequently, analysis of the measurement signals from a rocket engine was performed using an example, and it was shown that the established comprehensive health assessment structure, which is based on the fault prediction algorithm method and the fuzzy comprehensive assessment method, could successfully realize the effectiveness of the rocket engine system health assessment, which had an outstanding application value.

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Section: Health Assessmentmentioning

confidence: 99%

Review of Launch Vehicle Engine PHM Technology and Analysis Methods Research

et al. 2023

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“…The modeling of single phase induction motor is estimated by the direct and quadrature axis an equation resulting in fifth order matrix with decoupled equations is depicted in [17,18]. In this paper the controller design is attained by bacteria foraging optimization algorithm [19,20] along with different topologies and other applications of filter design is achieved by optimization techniques [21,22]. The closedloop control is demonstrated using pulse width modulated AC chopper fed capacitor run induction motor.…”

Section: Introductionmentioning

confidence: 99%

Implementation of PWM AC chopper controller for capacitor run induction motor drive via bacterial foraging optimization algorithm

Sivasubramanian

Narayanamurthy

2020

IJRES

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<p>This paper focuses on design of closed-loop control for pulse width modulated AC chopper controlled capacitor run induction motor drive engaging enriched optimization algorithm based on foraging of bacteria. Capacitor run induction motor is a non-linear device and its parameter varies under different functional point of the system. A linearized increment model for PWM AC chopper is illustrated for a particular functional point of the drive. The conventional method does not provide acceptable performance under different load conditions. Bacteria foraging optimization technique categorizes accurate control parameters for the superlative dynamic response under unit step load variations. Field Programmable Gate Array is implemented practically for a particular functional point of the drive to exhibit accurate performance. Experimental and simulated results are obtained to authenticate the effectiveness of the optimized controller.</p><p> </p>

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