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Intelligent diagnostic and predictive maintenance system, the state forecasts of economic overhaul

According to Huang signal analysis processing module module module neural network fault diagnosis module ignored the state prediction module database management module focus was soil dust dynamic bearing database cutting l time-domain waveform amplitude spectrum from the correlation analysis related to sub-fold more than figure shows the histogram of statistical analysis differential power spectrum analysis spectrum analysis spectrum analysis cepstrum detailed spectral array sub-sub-off discount network Hopfield neural network BP ignored the probabilistic neural network ART ignored the network ignored the increase in network access to records bearing records database records delete records Figure 1IDPM modify Intelligent Maintenance System Diagnosis and Prediction functional block diagram of two forecasting models of economic overhaul database management database records to modify a data view to increase the print statements recorded eight records of equipment repair except the law of statistical research and practice show that: (1) update the actual production equipment, is based on a defined overhaul to determine the number of the economic life of machinery and equipment, rather than age to determine the economic life of machinery and equipment. Uneconomical to repair as soon as the next update. (2) the physical wear of equipment is random and inheritance. Equipment maintenance costs and residual value of equipment, although the relevant year (but difficult to determine due to random factors). But more important with the overhaul interval is closely related to the number of cycles (inheritance). (3) With the equipment repair cycle times Gui intervals increase. Repair cycle interval was gradually reduced inheritance: the maintenance of the equipment was inherited c increase every time. Physical wear and tear from the device point of view,[link widoczny dla zalogowanych], machinery and equipment be replaced according to the law of degradation. Predicted by the model can be obtained about the economic overhaul the formula: = a, (I a) = (Jy) (1) where - to 』+1 j-overhaul interval shortening cycle machinery I6 J 1999 Development of c (= {Ko-KEN ~ (1 + f) ten ccp, / (s +)]} where Ⅳ - overhaul of equipment, the number of C (- N times the annual overhaul of equipment used during the average cost (yuan) KP- - Ⅳ second overhaul equipment residual value of equipment (element) Cpj - 』times when equipment maintenance equipment repair costs (RMB) Ko - equipment, at cost (yuan) t == Tt (1 a) / (1 - ), that is, Nq-1 plays an overhaul of the year - the first overhaul to 1, sub-overhaul interval of cycle = f = (a + lJ/-- 』to +1 for the first overhaul cycle of shortening during the week f - the year the interest in the maintenance system, the overhaul is the most important overhaul in order to achieve predictable, the monitoring device must be in good condition, it is necessary before the implementation of the close monitoring and control equipment, so we have: '= = a rj a J = rI-(3) where '- 1 from the first overhaul of the equipment began to implement the first time, close monitoring and control of overhaul time - is by degree of importance depending on the device and determine the value of the It is less than l, is generally preferable to O.7 ~ O.9 formula (1) the initial projections and forecasts can be equipment overhaul period: Equation (3) can the importance of the equipment to determine when to close the implementation of the equipment monitoring and control, in order to reliably predict the overhaul; formula (2) can be scientifically reasonable to predict the economic life of machinery and equipment (equipment replacement period), so that the monitoring and maintenance of equipment to obtain the best economic and technical results. when C (N) is Ⅳ is the most-hour overhaul of equipment and number of the economic life of the device is used to from start to overhaul Ⅳ +1 second time before, that is,[link widoczny dla zalogowanych], conclusions of economic overhaul models .3 - to overhaul the number of times to determine the limit of machinery and equipment of the new model of economic life,[link widoczny dla zalogowanych], can be easily intelligent diagnosis and predictive maintenance system in the state trends. not only machinery and equipment more effectively monitor the operational status of the implementation, but also scientific reasons to predict equipment economic life of Taiwan (equipment replacement period), for equipment monitoring and maintenance to achieve the best economic and technical, providing a reference. References 1 Wen Xisen, in Chun one. Don C. Yang. Machine Tool Dynamics and its work should collapse Hu leaves 1 South: Defense University Press, 19972 Liu beginning. Machinery and equipment economic life of the new model. Machinery Manufacturing. I996; 12 Received Date :1998-07-22; one; one; one branch of hydraulic and pneumatic annual meeting of the hydraulic and pneumatic branch l2 1998 25 ~ 27 in Huangpu Town, Zhongshan City, Annual Meeting held. from research institutes, universities and enterprises in more than 40 delegates attended the meeting. at. deputy mayor Wu Yuyuan Province Society of Mechanical Engineers standard Association, Deputy Secretary-General Chen made a speech to comrades, to congratulate the General Assembly convened .1 after colonization,[link widoczny dla zalogowanych], carried out academic exchanges and the General Assembly. 17 Conference academic exchanges, Fu Yang Commercial Exhibition Co., Ltd., Baiyun new center for the U.S. high-pneumatic equipment the General Assembly made the blind, introduced the exhibition and product information,[link widoczny dla zalogowanych], the meeting was a success. (Guangdong machine News)
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