Performance analysis of the briquette machine considering aneglected faults with preventive maintenance

2022 ◽  
Author(s):  
Divesh Garg ◽  
Reena Garg
Keyword(s):  
Performance Analysis ◽  
Preventive Maintenance

Modified Krill Herd Swarm Optimization (MKHSO) Based Optimal Neural Network Model for Analysis Multi-Performance Parameters in Manufacturing System

2018 ◽  
Vol 17 (02) ◽  
pp. 197-212
Author(s):  
R. Prasanna Lakshmi ◽  
P. Nelson Raja
Keyword(s):  
Neural Network ◽  
Performance Analysis ◽  
Preventive Maintenance ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Mean Square ◽  
Operational Cost ◽  
Performance Parameters ◽  
Swarm Optimization ◽  
Krill Herd

Develop a multi-target exhibit by considering the workstation reliability for preventive maintenance perspective, the general availability of the framework for production purposes, and total operational expenses for both preventive support and production arranging decisions. Despite that, the greater parts of the reviews in upkeep optimization do not consider the creation necessities experienced eventually. In this paper, hybrid inspired optimization model for the performance analysis in the manufacturing industry is utilized. This forecast investigation neural Network considered for weight streamlining procedure alongside parameters, for example, Total Operational Cost (TOC), availability and reliability of assembling framework. Weight examination krill and swarm intelligence are used to limit Mean Square Error (MSE) for all parameters. All the perfect outcomes show the way that the refined slip-up qualities between the output of the trial values and the foreseen qualities are solidly proportionate to zero in the arranged framework. From the results, the proposed Modified Krill herd Swarm Optimization (MKHSO) based perfect neural framework exhibits a precision of 98.23%, which diverges from the existing methodology.

Performance analysis of different type preventive maintenance materials for porous asphalt based on high viscosity modified asphalt

2018 ◽  
Vol 191 ◽  
pp. 320-329 ◽  
Author(s):  
Bin Xu ◽  
Mingliang Li ◽  
Shaohua Liu ◽  
Jing Fang ◽  
Runduo Ding ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Preventive Maintenance ◽  
High Viscosity ◽  
Porous Asphalt ◽  
Modified Asphalt

scholarly journals Performance Analysis of a Rod Breakdown System

2018 ◽  
Vol 7 (3.4) ◽  
pp. 243
Author(s):  
S Z Taj ◽  
S M Rizwan ◽  
B M Alkali ◽  
D K Harrison ◽  
G Taneja
Keyword(s):  
Performance Analysis ◽  
Preventive Maintenance ◽  
System Failure ◽  
Performance Indices ◽  
System Availability ◽  
Cooling Period ◽  
Regenerative Point ◽  
Semi Markov Processes ◽  
Mean Time ◽  
Two Machines

The paper presents performance analysis of a rod breakdown system consisting of two machines operating in parallel. Ten years maintenance data of the system depicts three maintenance practices: repair, major preventive maintenance and minor preventive maintenance. Machines are repaired on normal failures, whereas major/minor preventive maintenance is carried out at scheduled basis. The machines are queued for major preventive maintenance. An operative machine requires a cooling period of half hour before undergoing major preventive maintenance. Repair is prioritized over major preventive maintenance. The system is analysed using semi-Markov processes and regenerative point techniques. Performance indices namely mean time to system failure, system availability, no. of system repairs and busy period of the repairman are obtained. Simulated results are presented to demonstrate the effect of varying failure/repair rates on the system performance.  

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