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Information Journal Paper

Title

GENETIC ALGORITHM BASED ON OPTIMIZATION OF NEURAL NETWORK STRUCTURE FOR FAULT DIAGNOSIS OF THE CLUTCH RETAINER MECHANISM OF MF285 TRACTOR

Pages

  336-349

Abstract

 Introduction: The diagnosis of agricultural machinery faults must be performed at an opportune time, in order to fulfill the agricultural operations in a timely manner and to optimize the accuracy and the integrity of a system, proper monitoring and fault diagnosis of the rotating parts is required. With development of fault diagnosis methods of rotating equipment, especially bearing failure, the security, performance and availability of machines has been increasing. In general, fault detection is conducted through a specific procedure which starts with data acquisition and continues with features extraction, and subsequently failure of the machine would be detected. …

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    APA: Copy

    MOUSAVI, S.F., ABBASPOURFARD, M.H., AGHKHANI, M.H., EBRAHIMI, E., & SOHEILI MEHDIZADEH, A.. (2017). GENETIC ALGORITHM BASED ON OPTIMIZATION OF NEURAL NETWORK STRUCTURE FOR FAULT DIAGNOSIS OF THE CLUTCH RETAINER MECHANISM OF MF285 TRACTOR. JOURNAL OF AGRICULTURAL MACHINERY, 6(2), 336-349. SID. https://sid.ir/paper/201344/en

    Vancouver: Copy

    MOUSAVI S.F., ABBASPOURFARD M.H., AGHKHANI M.H., EBRAHIMI E., SOHEILI MEHDIZADEH A.. GENETIC ALGORITHM BASED ON OPTIMIZATION OF NEURAL NETWORK STRUCTURE FOR FAULT DIAGNOSIS OF THE CLUTCH RETAINER MECHANISM OF MF285 TRACTOR. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2017;6(2):336-349. Available from: https://sid.ir/paper/201344/en

    IEEE: Copy

    S.F. MOUSAVI, M.H. ABBASPOURFARD, M.H. AGHKHANI, E. EBRAHIMI, and A. SOHEILI MEHDIZADEH, “GENETIC ALGORITHM BASED ON OPTIMIZATION OF NEURAL NETWORK STRUCTURE FOR FAULT DIAGNOSIS OF THE CLUTCH RETAINER MECHANISM OF MF285 TRACTOR,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 6, no. 2, pp. 336–349, 2017, [Online]. Available: https://sid.ir/paper/201344/en

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