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| minteh, mustapha. |
| Abstract: Maintenance cost of agricultural machines accounts for about 10 to 15% of total production cost and this tends to increase as the machine gets older. To stabilized this already high cost, agricultural machinery maintenance engineers chose Preventive Maintenance (PM) strategy. However, the latter may not produce the desired results especially when machines are used under different operating context. In this paper, an assessment of the effects of PM strategy on reliability indicators (failure rate, mean time between failures (MTBF), mean time to repair (MTTR) and mechanical availability) of a rice combine harvester Mitsubishi TVR96 working under the operating context of Pacharr rice fields in The Gambia, is discussed. These reliability indicators... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Assessment; Impact; Preventive maintenance; Reliability indicators; Failure; Rice combine harvester.. |
| Ano: 2019 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4855 |
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| Gupta,Saurabh; Khosravy,Mahdi; Gupta,Neeraj; Darbari,Hemant; Patel,Nilesh. |
| Abstract Agricultural Machinery as an off-road vehicle is the backbone of the World agricultural industry. Its main function is to operate as a prime mover and support the power requirements to function the various type of draft implements. In this regards, the hydraulic system is an important part and is controlled by the propagated oil which is cleaned by impurities and debris using a filter system. Once it blocks, the bypass opens to avoid any pressure burst of the system, and the particles find their way into the hydraulic system and get lodged in the gears, pumps, valves, and drive train to hinder the performance of the Agricultural Machinery. This research presents an onboard Multiple Signal Classification Algorithm (MUSIC) and pseudo-spectrum... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Predictive maintenance; Preventive maintenance; Hydraulic systems; Acoustic measurements; Computerized instrumentation; Acoustic signal detection; Fault diagnosis. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100213 |
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