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ANALYZING OIL ANALYSIS, PART ONE

机译:石油分析第一部分

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Some years ago this author coined the term "After Test Support" to indicate the need to look more deeply into Condition Monitoring test results in order to glean maximum value from a sampling program, specifically test results for Oil Analysis. The Oil Analysis industry has burgeoned over the last four decades, adapting information technology to its processes on a steady, ongoing basis, and with noteworthy success. But most of the technology has been applied to instrumentation improvements and to data acquisition, storage and delivery. On the other hand, very little technology has been applied to data evaluation and interpretation beyond statistical limit and trend setting. In particular, there is little in the way of expert system development to render routine maintenance advisories, let alone to assess component wear and other complex condition scenarios. This presentation will explore the development of Oil Analysis and its somewhat misdirected emphasis on testing rather than data interpretation, wherein the Oil Analysis process has nearly become a commodity. Next data analysis will be discussed, along with a unique software approach to rendering highly nuanced scenario analyses and other after-test support concepts, thereby creating a platform for truly maximized return on the Oil Analysis investment.
机译:几年前,该作者创造了“测试后支持”一词,表示需要更深入地研究“状态监视”测试结果,以便从采样程序(尤其是“油品分析”)中获取最大值。过去四十年来,石油分析行业蓬勃发展,它在稳定,持续的基础上使信息技术适应其流程,并取得了显著成就。但是大多数技术已应用于仪器改进以及数据采集,存储和交付。另一方面,除了统计极限和趋势设定之外,很少有技术被用于数据评估和解释。特别是,专家系统开发的方式很少提供常规维护建议,更不用说评估组件磨损和其他复杂情况的情况了。本演讲将探讨Oil Analysis的发展及其在测试上的误导,而不是数据解释,其中Oil Analysis流程几乎已成为商品。将讨论下一个数据分析,以及用于呈现高度细致的方案分析和其他测试后支持概念的独特软件方法,从而创建一个平台,以真正最大化石油分析投资的回报。

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