Filtration

Predictive Maintenance Improves Filter Performance in Marine Engines

How Predictive Maintenance Improves Marine Engine Filter Performance | Marine Engine | Hydraulic & Industrial Process Filtration DivisionReliable functionality and efficient economy are the key drivers to the innovation in the development of marine engines. Improvements in the design efficiency in the maritime industry over the past three decades show engine applications have had the largest increase.

Current filtration practices in hydraulic and lubrication throughout marine applications center around preventing contamination from getting into the machinery, thereby delivering improved component life. However, purely prescriptive maintenance of filter elements causes unnecessary maintenance costs and unanticipated downtime. Our white paper demonstrates why a move to more predictive maintenance with condition-based maintenance of filter elements enables the operations team to optimize the use of resources.

 

How Predictive Maintenance Improves Marine Engine Filter Performance - WP cover image Towards the Predictive Maintenance of Mechanical Filters - Parker Hannifin


Download our technical white paper: Towards the Predictive Maintenance of Mechanical Filters to learn about the scientific testing behind the data substantiating the results.

 

 

 

Factors that influence the mechanics of filtration

Combustion and lubrication are complicated events with usual uncertainties in their operating conditions. A mechanical filtration system is an integral part of lubrication and combustion units, and may display an uncertain performance due to the sensitive behavior of several upstream and downstream components. On one hand, the flow and fluid characteristics along with the varying ambient conditions strongly impact the filter’s performance. On the other hand, unpredictable characteristics of contamination including the particle size and shape, specific weight and concentration of solids, the chemical composition of impurities and diverse intermolecular and adhesive forces highly influence the mechanics of filtration. The source of foreign matter in hydraulic liquids and underlying mechanisms of generating solid particles such as wear, welding slag, ingressed contamination, etc. is very complex, and a holistic analysis from the perspective of the system’s entirety would lead to superficial knowledge about oil quality.

 

Moving from preventive to predictive maintenance

Predictive Maintenance Improves Filter Performance in Marine Engines | Quote | Hydraulic & Industrial Process Filtration EMEA Parker HannifinThe presence of solid particles in the lubricant is a major cause of failures in hydraulic systems. Studies show that over 80% of the failures of hydraulic units are due to the foreign matter in the hydraulic oil. From a combustion perspective, stringent regulations on the emissions and realistic certification processes demand more efficient filtration practices.

The conventional practice of preventive maintenance of mechanical filters is purely time-based. This may cause additional maintenance costs if the filter element is still in relatively good condition, and unanticipated operational downtime if the element is clogged or damaged before its prescribed lifetime. Therefore, the need for switching from preventive/reactive maintenance to predictive maintenance is obvious, where the information about the element’s lifetime is critical without missing the focus on the optimal response to the key performance requirements:

  • Oil cleanliness

  • Sustainability

  • Serviceability

  • Safety

 

Optimizing filter predictive maintenance with sensors

How Predictive Maintenance Improves Marine Engine Filter Performance | Sensors | Hydraulic & Industrial Process Filtration EMEA Parker HannifinIn order to optimize the filter’s maintenance, the analysis of the performance over time must be precise. This objective can be achieved by improving the quality and relevance of the filter’s test data provided by the deployed sensors at the right locations of the test bench. Performance and statistics based predictive approach rely on the robustness and validity of the models that correlate influential factors to enable more accurate estimations of the filter element’s lifetime.

Predicting the lifetime of a mechanical filter is, therefore, a major challenge due to the dynamics associated with the filtration as a process itself. Depending on the areas of application, this estimate requires knowledge about all those processes that alter the operation settings, fluid condition, porous media properties, and the filter’s status.

 

Developing a framework for the data correlations

The rapid growth of sensing technologies has made oil condition monitoring a reality. However, the dynamics associated with the phase separation through porous media and ambiguous variation in the filtration phenomenon due to the uncertain operating conditions unleash the complexity in realizing the prognostics of a hydraulic or fuel filter.

 

HOw Predictive Maintenance Improves Marine Engine Filter Performance - Test System - Parker Hannifin
 

Therefore, a laboratory-based experimental framework has been developed to quantify the effect of fluid/flow conditions on filtration. Here, the identification of the right filtration parameter should lead to the analysis of the filter element’s condition and predict its residual lifetime.

A smarter shift to condition-based maintenance

As a filter’s maintenance practices cause unnecessary maintenance costs and unanticipated downtime, condition-based maintenance enables the optimum utilization of resources. This foresees a new horizon where the preventive or reactive maintenance could be replaced by the state-of-the-art predictive maintenance models in the context of industry 4.0 and the IoT.

 

Download White PaperDownload our technical white paper: Towards the Predictive Maintenance of Mechanical Filters to learn about the scientific testing behind the data substantiating the results.

 

Jagan Gorle Ph.D., principal R&D engineer at Hydraulic & Industrial Process Filtration Division of Parker Hannifin in Finland.Article contributed by Jagan Gorle Ph.D., principal R&D engineer at Hydraulic & Industrial Process Filtration Division of Parker Hannifin in Finland. 

 

 

 

 

Related, helpful content for you:

Reduce Failure of Hydraulic Systems with Preventive Maintenance

Moisture Contamination in Engine Lube and Hydraulic Oil

Fuel Switching: Monitoring to Prevent Damage

Clean Hydraulic Fluids Are the Key to Top Performance

 

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