COMPLICATED MECHANICAL EQUIPMENT DIAGNOSIS BASED ON BAYESIAN NETWORKS
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
Mechanical equipment fault diagnosis is a complicated process. Due to the complex structure, the different operating environment, the different detection means and testing equipment, the difference between the operator and other factor, that well lead to many uncertainties. In order to solve these problems, this paper established a Bayesian Network-based mechanical equipment fault diagnosis model. The evaluation function and firefly algorithm are introduced to optimize the model. Introduce a priori knowledge to self-learning during model establishment, reduce the uncertainty caused by the test object information. Improve the reliability of mechanical equipment fault detection, finally verified by an example.
Authors and Affiliations
Chaoquan Chen, Xinrong Li, Xiaolan XIE
STUDY ON TOURIST SATISFACTION OF THE WAN-LV VALLEY RESORT BASED ON ONLINE COMMENTS
Using the six OTA platforms, we collect the visitors’ online comments on the Wan-lv valley resort and obtain valid data through identification, screening, induction and other means. Using ROST software analysis of high f...
FIELD MEASUREMENT AND ANALYSIS OF VIBRATION REDUCTION EFFECT OF STEEL SPRING FLOATING PLATE AND VIBRATION RESPONSE STUDY ON SURROUNDING BUILDING
In order to realize the vibration reduction effect of steel-spring floating slab to surrounding buildings, by taking the rail transit underground of a city as the research object, three sites, with the ordinary track bed...
RESEARCH ON ADAPTIVE SLIDING MODE CONTROL FOR PIEZOELECTRIC POSITIONING SYSTEM
It is difficult to obtain the accurate mathematical model of the controlled object for the hysteresis nonlinearity of the piezoelectric actuator. An adaptive sliding mode control strategy based on switching gain and boun...
DESIGN OF CLASSROOM ZONING LIGHTING CONTROL SYSTEM BASED ON MICROCONTROLLER
Aiming at the problem of serious waste of classroom lighting electricity, put forward a design scheme of single chip microcomputer classroom area lighting control system based on the system, according to the people, ligh...
APPLICATION OF FEEDFORWARD-FUZZY ADAPTIVE CONTROL IN THE CONTROL OF ADSORPTION TOWER OF DRY DESULFURIZATION
Flue gas purification of a domestic steel mill using activated carbon desulfurization process. Among them, the flue gas treatment method of the adsorption tower is filled with activated carbon and flue gas permeated and...