Monitoring of Agricultural Machines with Used Engine Oil Analysis (original) (raw)
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This article focuses on the issue of motor oils used in the engines of non-road mobile machinery (NRMM), more specifically tractors. The primary goal of the paper is to determine the appropriate replacement interval for these oils. The physical properties of the examined samples were first determined by conventional instruments. Furthermore, the concentrations of abrasive metals, contaminants, and additive elements were measured using an optical emission spectrometer. Lastly, the content of water, fuel, and glycol and the products of oxidation, nitration, and sulfation were determined by using infrared spectrometry. The measured values were compared to the limit values. Based on the processing and evaluation of these analyses, the overall condition of the oils was assessed and subsequently the optimal exchange interval of the examined oils was determined. In addition, a risk analysis of the outage was performed. Due to the high yields of crops, farmers can lose a significant amount ...
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International Conference on Aerospace Sciences and Aviation Technology, 2011
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LUBRICATION OIL CONDITION MONITORING IN INTERNAL COMBUSTION DECKS ENGINES
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Engines are the main part of power plants and decks sea transport facilities. The performance of the engine depends upon the good condition of the components. The failure of engine components could be reduced by using condition-monitoring techniques. These are including vibration analysis, infrared thermography, and engine used oil analysis. The aim of this research is to reduce the failures of engine components by analyzing the used oil. Oil is the life-blood of engines. Much as if doctors assess human health through blood analysis, engine components can be monitored in much the same manner. Analysis is done for various properties like Viscosity, Total Base Number (TBN), Total Acid Number (TAN), Ash Content, Flash Point, Water Content, Contamination, and Wear Metal particles, which used to monitor the wear rate of engine components. The results of the study showed that the intervals of oil replacement based on the oil quality instead of the fixed running hours extend the intervals of oil replacement and achieve the targeted five thousand hours, resulting in reducing maintenance total cost. In condition monitoring, the study figured out the healthiness of engine internal components and no any potential failures are detected.
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MATEC Web of Conferences 184, 03008 (2018) https://doi.org/10.1051/matecconf/201818403008 Annual Session of Scientific Papers IMT ORADEA 2018, 2018
Abstract. This approach is focused on Machine Intelligence for Diagnosis Automation, a research program, which promotes « preventative maintenance in manufacturing plants through the development of a fully automated prototype for oil analysis and fault prediction. The prototype is based on Artificial Intelligence (A.I.) software and online hardware ». Monitoring the condition of lubricants requires examining the physical, chemical and additive states, which maintain the quality of the lubricants, which is necessary for the proper functioning of the equipment. A lubricant monitoring program, especially from a qualitative point of view, will need to focus on both machine tool wear and degradation of lubricants, as well as on detecting and describing abnormal working conditions for both lubricants and machine parts. This goal can be satisfied by examining all the oils used in a company by completing laboratory tests to generate steps and acceptance classes, as well as unplanned contingency analyses. These laboratory tests can be concentrated and classified into technology-based data sheets based on test-based information and test results, ultimately constituting consistent databases needed to generate monitoring and prevention reports. Data on the condition of the oil parameters used in the hydraulic system for lubricating machine tools have been collected for six months. The data is a matrix organized, with 258648 rows (observations) and 21 columns (parameters).
OIL ANALYSIS OF INTERNAL COMBUSTION ENGINEE
All engines must be lubricated in order to preserve the integrity of the system for its designated lifetime. The extreme temperatures in internal combustion engines make lubrication complex. The lubricants that are suitable for use in these engines are expected to reduce friction, dissipate heat from internal parts, minimize deposit formation, and prevent corrosion and wear. Its main function is to reduce friction by forming a film between two moving surfaces. The strength and durability of this film is related to the viscosity of the lubrication and to the speed and load experienced by the moving surfaces. Analyzing the lubricant of an internal combustion engine one can foresee what is happening inside it. For instance, wear between the valve and seat is thought to occur primarily due to relative motion when the valve is seated, due to cylinder pressure that forces the valve into the seat, causing slight deflections of both valve and seat. In order to study the predictive maintenance in an internal combustion engine, through wear particle oil analysis, it was constructed two tests rig composed by an engine coupled to a reducer. This work presents some results in the test rigs working with different lubricant. For analysis it was used analytical ferrography, viscosity measurement, TBN, spectrometry and magnetic particle quantifier. The result showed good agreement with the observed after disassembling the motors.
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Machine condition monitoring or predictive maintenance is the practice of assessing a machines condition by periodically gathering data on key machine-health indicators to determine when to schedule maintenance. One of the keys to keeping machinery operating at optimal performance involves monitoring and analyzing lubricant oils for characteristics such as contamination, chemical content and viscosity. Billions of dollars are spent annually replacing machinery components that have worn out due to the inability of the lubricants to perform the required task. Knowing how to interpret changing lubricant properties scan increase both the uptime and the life of your mission critical capital equipment. The existence or amount of debris and particles from wearing parts, erosion and contamination provide insights about the issues affecting performance and reliability. Lubricant, fuel and other key fluid analyses provide critical early warning information indicative of machine failure. Analyzing and trending the data means it can schedule maintenance before a critical failure. The result-higher equipment availability and productivity lower the maintenance costs.
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