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DTSTART:20240101T000000
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DTSTART;TZID=UTC:20240318T090000
DTEND;TZID=UTC:20240318T090000
DTSTAMP:20260421T152123
CREATED:20201005T103227Z
LAST-MODIFIED:20231212T130159Z
UID:5803-1710752400-1710752400@www.binmak.net
SUMMARY:Introduction to Condition Monitoring
DESCRIPTION:Introduction to Condition Monitoring\n\n			\n				\n				\n				\n				\n				[addtoany]\nbrochure \n\n\n			\n				\n				\n				\n				\n				\n					\n					\n						Course Horizon\n						Condition Monitoring describes various techniques used in surveillance\, testing and analysis of assembly\, plant and equipment with a mutual goal to detect any signs of malfunction or deterioration and any developing wear. \nIndustrial operations worldwide agree the significance of condition monitoring in implementing a successful maintenance strategy. It is a valuable tool in reliability defect elimination program. Due to current business competitiveness\, condition monitoring is a major component of predictive maintenance and enables optimisation of resources. \nOn the other hand\, Industry 4.0 has brought tremendous transformation in digital space\, plant maintenance has been a partaker of advanced machine data gathering and analysis capabilities\, enabling flexible and swift decision making. This has brought a need to empower maintenance teams. \nThis course introduces participants to various techniques used in condition monitoring together with benefits and opportunities of condition-based maintenance. Participants will learn about some of the digital tools being brought by Maintenance 4.0. \n\n					\n				\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						Learning Objectives\n						By the end of this course\, participants should be able to:\n\nDemonstrate a clear understanding of various techniques used in condition monitoring\nAppreciate and define the benefits of condition monitoring\nIdentify the various maintenance strategies used in condition monitoring and determine the factors\, which influence maintenance strategies\nDetermine the optimum maintenance strategy for different types of plant and equipment\nAppreciate Industry 4.0 condition monitoring technologies\nGain an in-depth understanding on machinery vibrations: recognize phase and vibration measurement\n\n\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						Course Content\n						\n\nDeveloping a maintenance strategy\nManaging Condition Based Maintenance\nInfrared Thermography\nOil Analysis and Lubricant Management\nWear debris and mechanical wear analysis\nVibration Analysis\nUltrasound / Acoustic Monitoring\nPrecision Alignment\nElectrical Signature Analysis\nPartial Discharge\nRemote Condition Monitoring (IIOT)\nRoot Cause Analysis\n\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						Who should attend?\n						\nProduction and Operations Managers\nAsset and Maintenance Managers\nReliability Engineers\nMaintenance and Production Engineers\nSupervisors\nPlanners\nEngineering Techniques\n\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						Delivery Platform\n						\nPublic Training –available at in all cities and towns\nOnsite Training\nVirtual Instructor-Led Training\nE-Learning\nCustomized Training\n\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						Training Duration\n						\nDelivery – 2 days \n\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Main Elements\n						Delivery\n\nThe 2-day session equips participants with both knowledge and skills \nSelf-assessment quizzes and interactive group discussions on each learning area foster great understanding\nInteractive group sessions and illustrative videos will be delivered to enhance content comprehension
URL:https://www.binmak.net/event/introduction-to-condition-monitoring/
CATEGORIES:Asset Management
ATTACH;FMTTYPE=image/png:https://www.binmak.net/wp-content/uploads/2020/07/projectManage.png
ORGANIZER;CN="Tawanda Mugombi":MAILTO:learning@binmak.com
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