{"id":4899,"date":"2021-08-12T01:07:24","date_gmt":"2021-08-12T07:07:24","guid":{"rendered":"https:\/\/limblecmms.com\/?p=4899"},"modified":"2025-05-30T13:06:27","modified_gmt":"2025-05-30T19:06:27","slug":"pf-curve","status":"publish","type":"post","link":"https:\/\/limblecmms.com\/blog\/pf-curve\/","title":{"rendered":"Explaining The P-F Curve And The P-F Interval"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row kd_background_image_position=&#8221;vc_row-bg-position-top&#8221;][vc_column][vc_column_text]<span style=\"font-weight: 400;\">Finding the optimal time to carry out maintenance work requires a deep understanding of asset failure modes, their maintenance needs, and the P-F interval.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Join us as we explore the meaning, purpose, and use cases behind the P-F curve and the P-F interval.\u00a0\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">The equipment deterioration rate is not a constant\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Understanding the deteriorating mechanisms of the equipment, predicting impending failures, and developing appropriate maintenance strategies have always been a subject of interest for reliability and <\/span><a href=\"https:\/\/limblecmms.com\/blog\/maintenance-engineer\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">maintenance engineers<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Legacy approaches such as breakdown or preventive maintenance were the most common strategies to address equipment failures. The underlying idea was that equipment health deteriorates steadily from installation to its end of life, thus necessitating maintenance at fixed-time intervals.\u00a0<\/span><\/p>\n<p><span id=\"mapping-equipment-degradation-with-P-F\"><\/span><span style=\"font-weight: 400;\">As the industry matured, the engineers came to realize that a machine&#8217;s degradation and failure rates do not remain constant throughout <\/span><a href=\"https:\/\/limblecmms.com\/maintenance-definitions\/asset-lifecycle-management\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">its lifecycle<\/span><\/a><span style=\"font-weight: 400;\">. As the equipment reaches its end of life, its health deteriorates at a faster rate compared to the time when it is installed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This necessitates that the maintenance is carried out based on the actual condition of the equipment driven by its reliability \u2013 which leads us to the concept of <\/span><a href=\"https:\/\/limblecmms.com\/strategies\/reliability-centered-maintenance\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">reliability-centered maintenance (RCM)<\/span><\/a><span style=\"font-weight: 400;\">.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row content_placement=&#8221;middle&#8221; kd_background_image_position=&#8221;vc_row-bg-position-bottom&#8221; kd_top_separator_style=&#8221;skew-left&#8221; kd_top_separator_height=&#8221;separator-height-small&#8221; kd_bottom_separator_style=&#8221;skew-left&#8221; kd_bottom_separator_height=&#8221;separator-height-small&#8221; kd_top_separator=&#8221;true&#8221; kd_bottom_separator=&#8221;true&#8221; css=&#8221;.vc_custom_1682969636891{margin-bottom: 40px !important;padding-top: 120px !important;padding-right: 40px !important;padding-bottom: 50px !important;padding-left: 40px !important;background: #dde4e8 url(https:\/\/limblecmms.com\/wp-content\/uploads\/cta-laired-hex-4.webp?id=9077) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;border-radius: 0px !important;}&#8221; css_tablet_landscape=&#8221;.vc_custom_1682969636891{padding-bottom: 80px !important;}&#8221; css_tablet_portrait=&#8221;.vc_custom_1682969636891{padding-bottom: 80px !important;}&#8221; css_mobile=&#8221;.vc_custom_1682969636892{padding-bottom: 80px !important;}&#8221;][vc_column][vc_row_inner kd_background_image_position=&#8221;vc_row-bg-position-top&#8221;][vc_column_inner]<header class=\"kd-section-title col-lg-12 text-center  subtitle-below-title kd-animated fadeIn   vc_custom_1687971311556\" data-animation-delay=200><h2 class=\"separator_off\" style=\"font-size: 42px;font-weight: 500;margin-bottom:30px;\">The Essential Guide to CMMS<\/h2><h6 class=\"subtitle\" style=\"color: #152232;\">Download this helpful guide to everything a CMMS has to offer.<\/h6><\/header>[\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=&#8221;top&#8221; kd_background_image_position=&#8221;vc_row-bg-position-top&#8221;][vc_column_inner width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1631866454223{padding-right: 50px !important;padding-left: 0px !important;}&#8221; offset=&#8221;vc_col-lg-6 vc_col-md-12 vc_col-xs-12&#8243; css_tablet_landscape=&#8221;.vc_custom_1631866454223{padding-right: 0px !important;}&#8221; css_tablet_portrait=&#8221;.vc_custom_1631866454223{padding-right: 0px !important;}&#8221; css_mobile=&#8221;.vc_custom_1631866454224{padding-right: 15px !important;}&#8221;][vc_raw_html]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[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_single_image source=&#8221;external_link&#8221; alignment=&#8221;center&#8221; css_animation=&#8221;fadeIn&#8221; custom_src=&#8221;https:\/\/3975608.fs1.hubspotusercontent-na1.net\/hubfs\/3975608\/Content%20Downloads\/CMMS%20Guide%20mockup.png&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row kd_background_image_position=&#8221;vc_row-bg-position-top&#8221;][vc_column][vc_column_text]<\/p>\n<h2><span style=\"font-weight: 400;\">Mapping equipment degradation with the P-F curve\u00a0\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">RCM for any equipment involves planning proactive maintenance tasks that relate to the determined equipment failures modes we want to prevent. <\/span><b>To enable this proactive planning, it is important to map the degradation of equipment health over time &#8211;\u00a0 leading to the development of the P-F Curve<\/b><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The purpose of the P-F curve is to determine the most effective times to perform maintenance work as it visualizes the deterioration processes of critical equipment. The curve represents different stages of failure development from the time when the symptoms of failure develop to the occurrence of <a href=\"https:\/\/limblecmms.com\/blog\/what-is-functional-failure\/\" target=\"_blank\" rel=\"noopener\">functional failure<\/a>.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-896\" src=\"https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve.jpg\" alt=\"P-F interval (P-F curve)\" width=\"640\" height=\"384\" srcset=\"https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve.jpg 1000w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-300x180.jpg 300w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-768x461.jpg 768w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-397x238.jpg 397w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-487x292.jpg 487w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-93x56.jpg 93w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-540x324.jpg 540w, https:\/\/limblecmms.com\/wp-content\/uploads\/2018\/10\/P-F-interval-P-F-curve-100x60.jpg 100w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">A sample of the P-F curve and the P-F interval<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">As seen in the image above:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>\u201cP\u201d is the potential failure<\/b><span style=\"font-weight: 400;\"> that represents the point in time when the failure symptoms have started to appear. At this stage, the failure might not occur but the conditions surrounding the equipment will indicate that the failure is bound to happen if the condition persists.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The point \u201cF\u201d<\/b><span style=\"font-weight: 400;\"> represents the point in time when the asset reaches functional failure, not necessarily a complete breakdown. This matters because functional failure can happen even before you notice audible noise or smoke.\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>The P-F interval<\/b><span style=\"font-weight: 400;\">, therefore, is the time interval between those two points.<\/span><b>\u00a0<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Here\u2019s a quick example.\u00a0<\/span><span id=\"extending-the-P-F-interval\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of the dominant causes of electric motor failure is the seizure of motor bearing. Long before the motor fails due to this failure mode, the symptoms would occur in bearing such as high noise and vibration, indicating an abnormality in motor operation.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">During high noise in the bearing, the motor may still continue to operate within required parameters. However, if left unaddressed, its health will start to deteriorate at a faster rate until the motor completely breaks down. In this scenario, the point when the operator first recognizes the abnormal sound is the potential failure (P) and when the bearing is seized is the functional failure (F) of the motor.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Extending the P-F interval\u00a0\u00a0\u00a0\u00a0<\/span><\/h2>\n<blockquote><p><span style=\"font-weight: 400;\">From the context of maintenance planning, the objective is to maximize the P-F interval such that sufficient time is granted to perform necessary corrective action to prevent functional failure.\u00a0<\/span><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">The effective strategy to prolong the P-F interval should be to incorporate a mechanism that catches the potential failure in a timely manner. The effectiveness of catching a potential failure of any equipment depends upon the nature of the selected maintenance program.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, in reactive maintenance, the equipment is attended to only when there is an actual failure. In this case, the P-F interval is effectively zero as there is no method to track failure symptoms.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Similarly, fixed-interval maintenance is also not an effective way to track potential failure since the equipment\u2019s health does not deteriorate consistently over time. There is always a possibility that a potential failure may occur soon after the <\/span><a href=\"https:\/\/limblecmms.com\/blog\/visual-inspection\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">periodic visual inspection<\/span><\/a><span style=\"font-weight: 400;\"> has been completed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The condition of the equipment is typically an indicator of potential failure that may arise. By accurately measuring and collecting the data on the condition parameters, the failure can be predicted well in advance, prolonging the P-F interval.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of the most effective mechanisms to track potential failure or Point P in a P-F curve is through <\/span><a href=\"https:\/\/limblecmms.com\/strategies\/condition-based-maintenance\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">condition-based maintenance (CBM)<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><span id=\"specific-variations-that-P-F-curve-doesnt-account-for\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">CBM provides real-time situational awareness that progressively tracks the changing patterns in condition parameters and alerts maintenance staff about an underlying deterioration in the equipment. It involves measuring the actual condition of the equipment (often through various <\/span><span style=\"font-weight: 400;\">non-destructive testing methods<\/span><span style=\"font-weight: 400;\">) and adjusting the maintenance schedule accordingly.\u00a0<\/span><\/p>\n<p><b>In other words, through CBM, the point \u201cP\u201d can be detected much earlier, providing more time to schedule maintenance work and allocate the necessary resources.<\/b><\/p>\n<h2><span style=\"font-weight: 400;\">Specific variations that P-F curve doesn\u2019t account for<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">While the P-F curve tells the time of intervention based on the statistical deterioration of equipment health over time, other factors can cause further variations among the equipment failure modes. We discuss the most common ones below.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">The impact of design strategy\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In some specific applications, the equipment may have <\/span><a href=\"https:\/\/limblecmms.com\/maintenance-definitions\/fault-tolerance\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">fault-tolerant designs<\/span><\/a><span style=\"font-weight: 400;\"> that provide greater tolerance to specific faults for longer periods. These types of equipment may also have redundancies that provide added time for an operator to intervene as the redundant equipment can pick up the slack if the primary equipment fails.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For instance, consider a system of two pump motors that are actively redundant to each other. The P-F interval for the entire system of two motors will begin when the primary motor starts showing signs of degradation. However, since there is a secondary redundant motor to take up the load, the effective P-F interval for the entire system is almost doubled.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this case, the P-F interval for the system can be stretched from the point when the potential failure shows up in the primary motor up until the point when the actual functional failures occur in the secondary motor.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">The impact of the operating environment<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The operating environment of the equipment also has a significant influence on the way the P-F interval is reviewed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some equipment, when loaded differently, may result in different rates of deterioration. Furthermore, certain operating scenarios may require assets to switch on and off more frequently and undergo <\/span><a href=\"https:\/\/www.ecmweb.com\/electrical-testing-old\/article\/20900946\/tip-of-the-week-overcoming-chronic-overload-protection-trips\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">intermittent overloading<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These operating variances may impact asset health in the long term and need to be accounted for while defining maintenance frequency.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">The impact of manufacturing deviation\u00a0<\/span><\/h3>\n<p><a href=\"https:\/\/www.vista-industrial.com\/blog\/the-importance-of-deviation-management-in-manufacturing\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Manufacturing deviation<\/span><\/a><span style=\"font-weight: 400;\"> can be caused by equipment, raw materials, human actions, environment, and methods. This has a significant impact on the P-F interval.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There may be a difference in the quality of raw materials from the same supplier, which may fall under the limits but can cause manufacturing deviation.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The same category of equipment from the same manufacturer can behave differently in production environments which leads to calibration errors.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Condition-based maintenance can prove to be useful in this scenario as it can detect potential failure based on the actual state of health or condition of the equipment.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In contrast, the fixed time-based maintenance will consider the same strategy for the same equipment class and will therefore overlook the underlying manufacturing deviation factors that can also trigger potential failures.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">The impact of the environmental conditions\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The environment under which equipment operates may also alter the P-F interval.\u00a0<\/span><span id=\"IoT-technology-I-P interval\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Equipment is generally designed to operate at specific temperatures and humidity. When any equipment is designed for cold and dry environments, its performance may degrade when subjected to hot and humid environments.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These variations of the environment thus have the capability to change the health and life span of the equipment. This phenomenon may also shrink or expand the gap between P and F points as the equipment may get exposed to a lesser or harsher environment and may need varying maintenance requirements.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Using IoT technology to move to the I-P interval<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The Internet of Things (IoT) has been one of the significant developments in the field of advanced analytics and <\/span><a href=\"https:\/\/limblecmms.com\/blog\/reliability-engineering\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">reliability engineering<\/span><\/a><span style=\"font-weight: 400;\">. The networks of sensors are now able to track and communicate equipment health data in real-time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The collected data is often stored on the cloud and is integratable with <\/span><a href=\"https:\/\/limblecmms.com\/cmms\/cmms-software\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">modern CMMS systems<\/span><\/a><span style=\"font-weight: 400;\">. CMMS can use the available information to generate alerts and initiate work orders.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unlike CBM, which deals primarily with real-time data and periodic measurements to catch potential failures, <\/span><a href=\"https:\/\/limblecmms.com\/strategies\/predictive-maintenance\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">predictive maintenance<\/span><\/a><span style=\"font-weight: 400;\"> can leverage maintenance history within CMMS to predict potential failures. Due to the presence of historical information, the pertinent algorithms can be trained to predict failure well ahead of even occurrence of potential failures.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In essence, <\/span><b>this indicates a transition from a traditional P-F interval to an I-P interval<\/b><span style=\"font-weight: 400;\"> where the term \u201cI\u201d represents the point of time when the equipment is first installed.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-4901\" src=\"https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve.png\" alt=\"D-I-P-F curve\" width=\"624\" height=\"299\" srcset=\"https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve.png 624w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-300x144.png 300w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-451x216.png 451w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-554x265.png 554w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-93x45.png 93w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-540x259.png 540w, https:\/\/limblecmms.com\/wp-content\/uploads\/D-I-P-F-curve-100x48.png 100w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">I-P and P-F reliability curve<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">The underlying concept behind using the <\/span><a href=\"https:\/\/reliabilityweb.com\/articles\/entry\/the-reliability-impact-within-the-p-f-curve\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">I-P interval <\/span><\/a><span style=\"font-weight: 400;\">is that the equipment health data can be collected right from the time when the equipment is installed. The operators should not wait until the occurrence of potential failures to act.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Catching early deterioration signs with CBM technology is great. However, you are still reacting &#8211; <\/span><a href=\"https:\/\/limblecmms.com\/maintenance-definitions\/corrective-maintenance\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">performing corrective maintenance<\/span><\/a><span style=\"font-weight: 400;\"> to address the identified issues.\u00a0<\/span><span id=\"more-data-better-schedules\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">For world-class asset management, you want to create an environment that will maximize asset reliability and extend its useful life. In other words, you want to maximize the time between serious corrective actions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This requires proactive measures like checking that the asset is installed properly, that operators know how to use the new machinery, that routine actions like cleaning and lubrication are already on your maintenance schedule, and similar.\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">More data equals better schedules<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">As we move forward, having access to enough data is the main prerequisite for building more efficient maintenance schedules.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That being said, you still need to be able to identify common failure modes you want to track. You can use the existing maintenance data to perform <\/span><a href=\"https:\/\/limblecmms.com\/blog\/root-cause-analysis-rca\/\"><span style=\"font-weight: 400;\">RCA<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/limblecmms.com\/blog\/fmea-and-fmeca\/\"><span style=\"font-weight: 400;\">FMEA<\/span><\/a><span style=\"font-weight: 400;\"> to find and select failure modes worth tracking.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Based on that, you want to develop preventive measures to prevent those failure modes. Alternatively, you can use condition monitoring technology to catch deterioration signs as early as possible &#8211; leaving you with enough time to allocate tools, parts, and labor needed to execute corrective actions before the asset experiences functional failure.\u00a0\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">None of this is simple to do, but that is the nature of equipment reliability.<\/span>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row kd_background_image_position=&#8221;vc_row-bg-position-top&#8221;][vc_column][vc_column_text]Finding the optimal time to carry out maintenance work [&hellip;]<\/p>\n","protected":false},"author":24,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[740],"tags":[],"class_list":["post-4899","post","type-post","status-publish","format-standard","hentry","category-metrics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Explaining The P-F Curve And The P-F Interval<\/title>\n<meta name=\"description\" content=\"Join us as we explore the meaning, purpose, and use cases behind the P-F curve, P-F interval, and I-P interval.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/limblecmms.com\/learn\/metrics\/pf-curve\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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