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Analysis of the fault diagnosis method to coal mine electrical control circuit in such circumstances to improve coal mine electrical control circuit fault diagnosis and maintenance is very important based on the above factors this article on the electrical control circuit repair process as the research object how to carry on fault
Aleksandar applied selforganizing maps for early fault detection and isolation in coal mills 6 the author described the model free method based on the selforganizing map which could overcome
In 2012 and 2013 this method was used in the analysis of failure rate and safety diagnosis on coal mine production systems roof fall accidents in coal mines main causes of accidents due to gas outburst in mines safety of rail transport systems in coal mine effect of operating environment conditions on lhd and radiation hazards in uranium
The inability of the coal mill control structure to monitor and control pulverized coal ow causes operational and environmental problems the research was done to design the new control structure for coal mill in coal firing system to achieve an improvement on control system performance compared to the existing control structure
The research of gear reducer fault diagnosis in coal mine xue guanghui the present situation and the development tendency of electrical equipment fault diagnosis method research c coal engineering 20105 103104 2 zhou lizhi the design of multichannel data acquisition system in the underground coal minec
To reduce the difficulty of acquiring and transmitting data in mining hoist fault diagnosis systems and to mitigate the low efficiency and unreasonable reasoning process problems a fault diagnosis method for mine hoisting equipment based on the internet of things iot is proposed in this study
Faults was as high as 882 which was higher than the fault diagnosis methods mentioned in other papers however as the amount of data increases the data is updated and the method of fault diagnosis needs to be continuously updated and improved therefore the te process fault diagnosis still needs further research in summary this paper
Recent mechanical systems and signal processing articles recently published articles from mechanical systems and signal processing an improved variational mode decomposition method based on particle swarm optimization for leak detection of liquid pipelines
The current research modified this method to include the information of the time delay between process variables and the time delay can be obtained through the openloop responses of setpoint changes the modified method is applied for the fault diagnosis of the pulp mill
Fault diagnosis of coal mill based on psokelm zhang wentao 1 2 ma yongguang 1 dong zijian 1 du jingqi 2 1 school of control and computer engineering north china electric power university baoding 071003 china 2 yunnan electric power test research institute group co ltd kunming 650217 china
Sensors article fault diagnosis method for a mine hoist in the internet of things environment juanli li 12 jiacheng xie 1 zhaojian yang 1 and junjie li 1 1 shanxi key laboratory of fully mechanized coal mining equipment college of mechanical engineering taiyuan university of technology taiyuan 030024 china xiejiacheng0007 jx
A review on empirical mode decomposition in fault diagnosis of rotating machinery yj lu research on rub impact fault diagnosis method of rotating machinery based on emd and svm proceedings of the 2009 ieee international conference on mechatronics and automation changchun china august 912 2009 mj zuofault
In conclusion the method put forward in this contribution can accurately extract the main mode and successfully diagnosis outer race fault inner race fault and rolling element fault and different fault signal model is verified 5 conclusions the rolling bearing fault diagnosis method based on the vmd was presented in this article
Jan 30 2018 abstract fault diagnosis of chemical process data becomes one of the most important directions in research and practice conventional fault diagnosis and classification methods first extract features from the raw process data then certain classifiers are adopted to make diagnosis
Rolling bearings are the core components of the machine in order to save costs and prevent accidents caused by bearing failures the rolling bearing fault diagnosis technology has been widely used in the industrial field at present the proposed methods include wavelet transform morphological filtering empirical mode decomposition emd and ensemble empirical mode decomposition eemd
In coal mining industry the running state of mine ventilators plays an extremely significant role for the safe and reliable operation of various industrial productions to guarantee the better reliability safety and economy of mine ventilators in view of early detection and effective fault diagnosis of mechanical faults which could prevent unscheduled downtime and minimize maintenance fees
According to the requirements of states monitoring and detection to shearer it is an urgent need to develop a new states signal collection method which can solve the current problem in signal collection in this paper we collect shearers states signal by using selfdeveloped portable intrinsically safe mining vibration recorder which has solved the data acquisition problem of vibration
The working conditions of rolling bearings during the running change in real time aiming at the problem of fault diagnosis of rolling bearing under complex working conditions a new fault diagnosis vhdbn method based on variation mode decomposition vmd hilbert transform ht and deep belief network dbn is proposed in this paper
As a consequence of these problems coal mill control and fault detection have been the main focus in many research activities general overview of control and fault diagnostic methods are the topics in 1 2 the authors in 3 investigated models based on the mass and heat balance
Based on the method the online monitoring and fault diagnosis system for belt conveyors was designed which can automatically detect the faults the results of the experiment on a belt conveyor in a coal mine demonstrate that the proposed system can locate the position of the faulty idlers with limited number of sensors
Diagnosis troubleshooting remedy problem tech exam database afs database corrective action advice online monitoringfleetwide monitoring olmfwm system alert pattern is observed related data for asset are retrieved and a fault feature pattern is created possible matching signatures are retrieved from the asset fault signature
According to the problem that the fault of the hydraulic support was difficult and the recognition rate was low the fault diagnosis method was put forward based on the fta fully mechanized coal mining hydraulic support this method was integrated with fault tree diagnosis technology and expert system the failure types and causes of the hydraulic support
22 coal mill system thermal resistance temperature signal is abnormal when the temperature measurement component is inspected at the production site the temperature and resistance values can be tested by means of a multimeter after the index is normal a further troubleshooting method can be selected for fault diagnosis
The relationship between fault phenomenon and fault cause is always nonlinear which influences the accuracy of fault location and neural network is effective in dealing with nonlinear problem in order to improve the efficiency of uncertain fault diagnosis based on neural network a neural network fault diagnosis method based on rule base is put forward at first the structure of bp neural
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