ASHLESS TBN MAINTENANCE OF LUBRICANT
    1.
    发明申请
    ASHLESS TBN MAINTENANCE OF LUBRICANT 审中-公开
    无润滑剂维护润滑剂

    公开(公告)号:WO2017031058A1

    公开(公告)日:2017-02-23

    申请号:PCT/US2016/047036

    申请日:2016-08-15

    Applicant: CUMMINS INC.

    Abstract: Described herein is a method for extending lubricant life, comprising treating a lubricant with a lubricant additive which comprises a compound selected from the group consisting of urea, ammonium carbonate, ammonium bicarbonate, and ammonium hydroxide to neutralize acids from oil use and/or contamination by combustion condensates. For example, the lubricant of an internal combustion engine can be treated in situ with an aqueous solution of urea, ammonium carbonate, ammonium bicarbonate, and/or ammonium hydroxide. Also provided is a method for extending lubricant life, comprising use of a urea source on a vehicle that is processed and delivered on board to a lubricant to treat reactive species in the lubricant to increase oil drain interval.

    Abstract translation: 本文描述了一种延长润滑剂寿命的方法,包括用润滑剂添加剂处理润滑剂,该润滑剂添加剂包括选自由尿素,碳酸铵,碳酸氢铵和氢氧化铵组成的组的化合物,以中和来自油的使用和/或污染的酸 燃烧冷凝物。 例如,内燃机的润滑剂可以用尿素,碳酸铵,碳酸氢铵和/或氢氧化铵的水溶液原位处理。 还提供了一种用于延长润滑剂寿命的方法,其包括在车辆上使用尿素源,其在车上被加工和输送到润滑剂上以处理润滑剂中的活性物质以增加排油间隔。

    PREDICTIVE ENGINE MAINTENANCE APPARATUSES, METHODS, SYSTEMS AND TECHNIQUES

    公开(公告)号:WO2021108349A1

    公开(公告)日:2021-06-03

    申请号:PCT/US2020/061917

    申请日:2020-11-24

    Abstract: A method comprises inputting used oil analysis data to a pre-trained predictive model, the used oil analysis data including values quantifying a plurality of chemical components measured in a sample of used oil taken from an engine under analysis, determining a probability of at least one fail code with the pre-trained predictive model in response to the used oil analysis data, the at least one fail code corresponding to one of a plurality of predetermined engine failure types, providing the at least one fail code and the probability of the at least one fail code to an expert system, performing with the expert system a root cause analysis of the at least one fail code determine a root cause indicating a preventative maintenance action, and performing the predictive maintenance action on the engine under analysis.

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