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	<title>elemental analysis Archives | Tesibis</title>
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	<description>Consulting &#38; Expert Testimony on Lubrication &#38; Oil Analysis</description>
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	<title>elemental analysis Archives | Tesibis</title>
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		<title>Proactive and Predictive Strategies for Setting Oil Analysis Alarms and Limits</title>
		<link>https://tesibis.com/lubricant-analysis/1-proactive-and-predictive-strategies-for-setting-oil-analysis-alarms-and-limits/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 15:21:00 +0000</pubDate>
				<category><![CDATA[Lubricant Analysis]]></category>
		<category><![CDATA[critical alarm]]></category>
		<category><![CDATA[elemental analysis]]></category>
		<category><![CDATA[oil analysis]]></category>
		<category><![CDATA[oxidation stability]]></category>
		<category><![CDATA[particle count]]></category>
		<category><![CDATA[statistical alarms]]></category>
		<category><![CDATA[viscosity]]></category>
		<category><![CDATA[wear debris]]></category>
		<guid isPermaLink="false">https://tesibis.com/?p=570</guid>

					<description><![CDATA[<p>Abstract: In oil analysis, well placed alarms and limits are like trip wires, alerting operators and technicians to an untoward or threatening condition. Oil analysis limits can vary considerably according to machine type, oil type, and reliability goals. This paper discusses four distinct types of limits and how they are applied to different machine and lubricant applications: goal-based limits, aging limits, rate-of-change limits, and statistical limits.</p>
<p>The post <a href="https://tesibis.com/lubricant-analysis/1-proactive-and-predictive-strategies-for-setting-oil-analysis-alarms-and-limits/">Proactive and Predictive Strategies for Setting Oil Analysis Alarms and Limits</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch<br>Proceedings of the JOAP International Condition Monitoring Conference. Technology Showcase</p>



<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="283" height="217" src="https://tesibis.com/wp-content/uploads/2025/12/image-25.png" alt="" class="wp-image-571"/></figure>



<p class="wp-block-paragraph">Abstract: In oil analysis, well placed alarms and limits are like trip wires, alerting operators and technicians to an untoward or threatening condition. Oil analysis limits can vary considerably according to machine type, oil type, and reliability goals. This paper discusses four distinct types of limits and how they are applied to different machine and lubricant applications: goal-based limits, aging limits, rate-of-change limits, and statistical limits.</p>



<div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex">
<div class="wp-block-button is-style-tesibis-outline-blue-blue"><a class="wp-block-button__link wp-element-button" href="https://tesibis.com/pdf/articles/Proactive-and-Predictive-Strategies.pdf" target="_blank" rel="noreferrer noopener">Read the full paper</a></div>
</div>
<p>The post <a href="https://tesibis.com/lubricant-analysis/1-proactive-and-predictive-strategies-for-setting-oil-analysis-alarms-and-limits/">Proactive and Predictive Strategies for Setting Oil Analysis Alarms and Limits</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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			</item>
		<item>
		<title>Tricks to Classifying Wear Metals and Other Used Oil Suspensions</title>
		<link>https://tesibis.com/wear-debris-analysis/1-tricks-to-classifying-wear-metals-and-other-used-oil-suspensions/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 16:44:32 +0000</pubDate>
				<category><![CDATA[Wear Debris Analysis]]></category>
		<category><![CDATA[abrasive wear]]></category>
		<category><![CDATA[adhesive wear]]></category>
		<category><![CDATA[analytical ferrography]]></category>
		<category><![CDATA[corrosion debris]]></category>
		<category><![CDATA[debris field]]></category>
		<category><![CDATA[elemental analysis]]></category>
		<category><![CDATA[ferrogram]]></category>
		<category><![CDATA[ferrous density analysis]]></category>
		<category><![CDATA[filtergram]]></category>
		<category><![CDATA[laminar particle]]></category>
		<category><![CDATA[microscopic analysis]]></category>
		<category><![CDATA[particulate]]></category>
		<category><![CDATA[patch ferrography]]></category>
		<category><![CDATA[platelet]]></category>
		<category><![CDATA[predictive maintenance]]></category>
		<category><![CDATA[surface fatigue]]></category>
		<category><![CDATA[tribology]]></category>
		<category><![CDATA[wear debris]]></category>
		<category><![CDATA[wear particle analysis]]></category>
		<category><![CDATA[wear particle classification]]></category>
		<guid isPermaLink="false">https://tesibis.com/?p=621</guid>

					<description><![CDATA[<p>The most common methods for initial detection of abnormal levels of wear debris in used oils include elemental analysis, ferrous density analysis (DR, etc.), particle counting and patch testing. For some users, because of the criticality of the application, all of these screening tests for wear metals are integrated into the routine test slate.</p>
<p>The post <a href="https://tesibis.com/wear-debris-analysis/1-tricks-to-classifying-wear-metals-and-other-used-oil-suspensions/">Tricks to Classifying Wear Metals and Other Used Oil Suspensions</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch<br>Practicing Oil Analysis Magazine</p>



<figure class="wp-block-image size-full"><img decoding="async" width="252" height="166" src="https://tesibis.com/wp-content/uploads/2025/12/image-37.png" alt="" class="wp-image-622"/></figure>



<p class="wp-block-paragraph">The most common methods for initial detection of abnormal levels of wear debris in used oils include elemental analysis, ferrous density analysis (DR, etc.), particle counting and patch testing. For some users, because of the criticality of the application, all of these screening tests for wear metals are integrated into the routine test slate.</p>



<p class="wp-block-paragraph">In such cases, when sampling is done correctly, it would be rare for the abnormal production of wear metals to go undetected. However, when only one or two of these methods are routinely deployed, there is a distinct risk that an incipient (early stage) failure condition may be missed.</p>



<div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex">
<div class="wp-block-button is-style-tesibis-outline-blue-blue"><a class="wp-block-button__link wp-element-button" href="https://www.machinerylubrication.com/Read/3/wear-metals-oil-suspensions" target="_blank" rel="noreferrer noopener">Read the full article</a></div>
</div>
<p>The post <a href="https://tesibis.com/wear-debris-analysis/1-tricks-to-classifying-wear-metals-and-other-used-oil-suspensions/">Tricks to Classifying Wear Metals and Other Used Oil Suspensions</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Tactics For Identifying Wear Metal and Solid-particle Suspensions</title>
		<link>https://tesibis.com/wear-debris-analysis/2-tactics-for-identifying-wear-metal-and-solid-particle-suspensions/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 17:11:29 +0000</pubDate>
				<category><![CDATA[Wear Debris Analysis]]></category>
		<category><![CDATA[acid digestion]]></category>
		<category><![CDATA[analytical ferrography]]></category>
		<category><![CDATA[blotter spot test]]></category>
		<category><![CDATA[elemental analysis]]></category>
		<category><![CDATA[ferrogram]]></category>
		<category><![CDATA[ferrous density analysis]]></category>
		<category><![CDATA[filtergram]]></category>
		<category><![CDATA[gravimetric analysis]]></category>
		<category><![CDATA[micropatch]]></category>
		<category><![CDATA[microscopy]]></category>
		<category><![CDATA[nonferrous particles]]></category>
		<category><![CDATA[particle count]]></category>
		<category><![CDATA[patch test]]></category>
		<category><![CDATA[sulfated ash procedure]]></category>
		<category><![CDATA[wear debris]]></category>
		<category><![CDATA[wear debris characterization]]></category>
		<guid isPermaLink="false">https://tesibis.com/?p=632</guid>

					<description><![CDATA[<p>The most widely used laboratory methods for initial detection of abnormal levels of wear debris in used oils include elemental analysis, ferrous density analysis (DR, etc.), particle counting and patch testing.</p>
<p>The post <a href="https://tesibis.com/wear-debris-analysis/2-tactics-for-identifying-wear-metal-and-solid-particle-suspensions/">Tactics For Identifying Wear Metal and Solid-particle Suspensions</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch<br>Practicing Oil Analysis Magazine</p>



<figure class="wp-block-image size-full"><img decoding="async" width="330" height="161" src="https://tesibis.com/wp-content/uploads/2025/12/image-40.png" alt="" class="wp-image-633" srcset="https://tesibis.com/wp-content/uploads/2025/12/image-40.png 330w, https://tesibis.com/wp-content/uploads/2025/12/image-40-300x146.png 300w" sizes="(max-width: 330px) 100vw, 330px" /></figure>



<p class="wp-block-paragraph">The most widely used laboratory methods for initial detection of abnormal levels of wear debris in used oils include elemental analysis, ferrous density analysis (DR, etc.), particle counting and patch testing.</p>



<p class="wp-block-paragraph">For some users, because of the criticality of their machines, all of these screening tests for wear metals are integrated into the routine test slate. In such cases, when sampling is done correctly, it would be rare for the abnormal production of wear metals to go undetected.</p>



<p class="wp-block-paragraph">However, when only one or two of these methods are routinely deployed, there is a distinct risk that an incipient (early stage) failure condition may be overlooked or dismissed as inconsequential.</p>



<div class="wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex">
<div class="wp-block-button is-style-tesibis-outline-blue-blue"><a class="wp-block-button__link wp-element-button" href="https://www.machinerylubrication.com/Read/1766/wear-metal-solid-particle" target="_blank" rel="noreferrer noopener">Read the full article</a></div>
</div>
<p>The post <a href="https://tesibis.com/wear-debris-analysis/2-tactics-for-identifying-wear-metal-and-solid-particle-suspensions/">Tactics For Identifying Wear Metal and Solid-particle Suspensions</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></content:encoded>
					
		
		
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