Inspecting Briquette Machine with Different Faults

被引:0
|
作者
Garg D. [1 ]
Garg R. [1 ]
Garg V. [2 ]
机构
[1] Department of Mathematics, J.C. Bose University of Science and Technology, YMCA, Faridabad
[2] Department of Mathematics, Galgotias University, Greater Noida
关键词
biomass briquettes; briquette machine; inspection; regenerative point graphical technique; reliability; Semi-markov process;
D O I
10.2174/2666255813999200909110603
中图分类号
学科分类号
摘要
Background: A briquette machine can be considered very useful in modern times as the need for energy consumption is increasing rapidly. Considering the harm to the environment, the study of the briquette machine is the need of present times. In this paper, the operative unit is considered as briquette machine, also known as bio-coal, which is used for agroforestry waste. Objective: A single operative unit has been analyzed stochastically. The inspection of the breakdown of a unit reveals the feasibility of the unit under the supervision of either ordinary or expert repairmen. Two types of faults are revealed by the repairmen, either minor or major. Minor faults are repaired immediately by the same repairmen, but whenever a major fault is held, the machine’s fault will be handled by an expert person. Method: It is assumed that the repair needs no modification once served. Availability, Mean-time for system failure, and profits are analyzed by utilizing the Regenerative point graphical technique and Semi-markov process. Results: The study reveals that the mean-time for system failure of the system model goes on decreasing as the failure rate increases and the availability goes on decreasing as failure-rate increases. Moreover, the study shows that the systems' profit goes down on an increase in Failure-rate. Conclusion: Findings of the study support the hypothesis that the limits of failure/repair/inspection rate will surely have effective profitability. Moreover, it is found that the utility of the scale of operation can easily be derived. The practical importance of biomass briquettes for burning coal or wood is very well appreciated. © 2022 Bentham Science Publishers.
引用
收藏
页码:481 / 486
页数:5
相关论文
共 50 条
  • [21] Development of an inspecting system for NC machine program correctness
    Zhou, Huiquen
    Mo, Rong
    Fang, Wei
    Jixie Kexue Yu Jishu/Mechanical Science and Technology, 1998, 17 (06): : 1005 - 1007
  • [22] A machine vision approach for detecting and inspecting circular parts
    Tsai, DM
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 1999, 15 (03): : 217 - 221
  • [23] Application of machine vision in inspecting stem and shape of fruits
    Ying, YB
    Jing, HS
    Tao, Y
    Jin, JQ
    Ibarra, J
    Chen, ZK
    BIOLOGICAL QUALITY AND PRECISION AGRICULTURE II, 2000, 4203 : 122 - 130
  • [24] A Machine Vision Approach for Detecting and Inspecting Circular Parts
    D.-M. Tsai
    The International Journal of Advanced Manufacturing Technology, 1999, 15 : 217 - 221
  • [25] Diagnostic feature selection for efficient recognition of different faults of rotor bars in the induction machine
    Kurek, Jaroslaw
    Osowski, Stanislaw
    PRZEGLAD ELEKTROTECHNICZNY, 2010, 86 (01): : 121 - 123
  • [26] Blind Application of Developed Smart Vibration-Based Machine Learning (SVML) Model for Machine Faults Diagnosis to Different Machine Conditions
    Espinoza Sepulveda, Natalia F.
    Sinha, Jyoti K.
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2021, 9 (04) : 587 - 596
  • [27] CURING FAULTS ON FUELLING MACHINE
    不详
    NUCLEAR ENGINEERING INTERNATIONAL, 1978, 23 (273): : 61 - 62
  • [28] Blind Application of Developed Smart Vibration-Based Machine Learning (SVML) Model for Machine Faults Diagnosis to Different Machine Conditions
    Natalia F. Espinoza Sepúlveda
    Jyoti K. Sinha
    Journal of Vibration Engineering & Technologies, 2021, 9 : 587 - 596
  • [29] DETECTION OF ANESTHESIA MACHINE FAULTS
    BUFFINGTON, CW
    RAMANATHAN, S
    TURNDORF, H
    ANESTHESIA AND ANALGESIA, 1984, 63 (01): : 79 - 82
  • [30] Automation registering & inspecting system of the flat sereen printing machine based on machine vision
    Pengfei, Li
    Lei, Zhang
    Hui, Ma
    Proceedings of 2006 China International Wool Textile Conference & IWTO Wool Forum, 2006, : 443 - 448