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X-WR-CALNAME:Smart Training Center
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X-WR-CALDESC:Events for Smart Training Center
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TZID:Asia/Krasnoyarsk
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20260601T083000
DTEND;TZID=Asia/Krasnoyarsk:20260603T160000
DTSTAMP:20260601T043918
CREATED:20241122T061741Z
LAST-MODIFIED:20260217T010119Z
UID:840-1780302600-1780502400@smart-training-center.com
SUMMARY:Condition Based Maintenance
DESCRIPTION:Background & About the Course\n\nIn modern industrial operations\, Condition Based Management System (CBMS) has become an increasingly relevant approach to enhance the efficiency and effectiveness of asset management. CBMS utilizes real-time data from asset conditions to plan timely and appropriate maintenance actions. This allows organizations to reduce downtime\, minimize unnecessary maintenance costs\, and extend the overall lifespan of assets. \nThis training is designed to provide a comprehensive understanding of the implementation and analysis of CBMS across various industrial sectors. Participants will learn data collection techniques\, asset condition analysis\, and strategic data-driven decision-making. With a technology and data-driven approach\, this training helps organizations adapt to the demands of Industry 4.0 and improve their business competitiveness. \nCourse Objectives\nAfter completing this training\, participants are expected to: \n\nUnderstand the concepts and benefits of Condition Based Management System (CBMS).\nIdentify the steps for implementing CBMS within an organization.\nConduct asset condition analysis using relevant techniques and software.\nDevelop condition-based maintenance strategies to enhance operational efficiency.\nReduce asset failure risks through data-driven decision-making.\n\nWho Should Attend\nThis training is recommended for: \n\nManagers and supervisors in maintenance and operations.\nEngineers responsible for asset maintenance and analysis.\nProfessionals in reliability engineering and asset management.\nIndividuals involved in infrastructure management and maintenance strategy development.\n\nCourse Content\n\nIntroduction to Condition Based Management System\n\n\nOverview of Condition Based Maintenance and Management System\nKey Principles and Benefits of CBMS\nTools and Technologies for Condition Monitoring\nCase Study: Implementing CBMS in Industrial Settings\n\n\nData Collection and Analysis\n\n\nTechniques for Collecting Real-Time Data from Assets\nIntroduction to Predictive Maintenance Tools (e.g.\, Vibration Analysis\, Thermal Imaging)\nData Interpretation and Fault Diagnosis\nWorkshop: Developing a Monitoring Framework for Assets\n\n\nStrategy Development and Implementation\n\n\nBuilding a CBMS Strategy: From Planning to Execution\nRisk Assessment and Decision-Making in CBMS\nPerformance Metrics for Evaluating CBMS Success\nFinal Presentation: Designing a CBMS Plan for Your Organization\n\nAbout the Course Leader\nCecep Slamet Abadi\, ST.\, MT is an associate instructor at FJM with a background in Mechanical Engineering for both undergraduate and graduate studies. He has been an active lecturer since 1996 and has experience in industry and consulting\, including roles at LAPI ITB\, Puslitbang Air\, PINDAD\, and conducting energy audits at Pertamina EP Pangkalan Susu\, Tambung\, and Rengasdengklok. He is also part of the competency testing team for IATKI (Indonesian Electrical Engineering Association). \nIn terms of industrial training\, Mr. Cecep has conducted over 150 in-house and public training sessions for organizations such as Indonesia Power\, PLTA Saguling\, Freeport-Papua\, Chevron Oil/Gas\, Chevron Geothermal\, Premier Oil\, Pupuk Sriwijaya\, Pupuk Kujang\, Badak LNG\, and many others. \nPublic Training berikutnya : 6 – 8 July\, 2026
URL:https://smart-training-center.com/event/condition-based-maintenance/
LOCATION:Bandung\, Jawa Barat\, Indonesia
CATEGORIES:Maintenance,Mechanical
ATTACH;FMTTYPE=image/jpeg:https://smart-training-center.com/wp-content/uploads/2024/11/Condition-Based-Maintenance-Analysis.jpg
ORGANIZER;CN="PT Fiqry Jaya Manunggal":MAILTO:info@fiqry.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20260601T083000
DTEND;TZID=Asia/Krasnoyarsk:20260603T160000
DTSTAMP:20260601T043918
CREATED:20241122T155207Z
LAST-MODIFIED:20260217T023401Z
UID:933-1780302600-1780502400@smart-training-center.com
SUMMARY:Safety & Shutdown System
DESCRIPTION:BACKGROUND:\nSafety Shutdown Systems (SSS) are critical in ensuring the safe operation of industrial plants\, machinery\, and equipment. These systems are designed to automatically detect hazardous conditions and initiate a controlled shutdown to prevent accidents\, equipment damage\, or catastrophic failures. In industries such as oil and gas\, manufacturing\, and power generation\, where processes often operate at high temperatures\, pressures\, and other dangerous conditions\, a reliable safety shutdown system is essential. This training focuses on providing participants with the knowledge and skills required to understand the components\, design\, and operation of safety shutdown systems\, ensuring they are well-equipped to maintain and troubleshoot such systems effectively. \nThe three-day training program will provide a comprehensive overview of safety shutdown system principles\, including system architecture\, detection methods\, and shutdown protocols. Participants will gain practical knowledge of the key components such as sensors\, controllers\, and actuators that are integral to these systems. The course will also cover the importance of regular maintenance\, testing\, and calibration to ensure the system’s reliability during emergencies. By the end of the training\, participants will be equipped with the skills to implement\, maintain\, and troubleshoot Safety Shutdown Systems in various industrial applications\, contributing to a safer working environment. \nOBJECTIVES: \n\nUnderstanding the Fundamentals\nSystem Design and Functionality\nComponent Knowledge\nMaintenance and Calibration\nTroubleshooting and Problem-Solving\nEnhancing Workplace Safety\n\n\n\nRECOMMENDED PARTICIPANTS:\n\nControl Room Operators\nMaintenance Technicians\nProcess Engineers\nElectrical and Instrumentation Engineers\nSafety Officers\nProject Engineers/Managers\nPlant Operators\nQuality Assurance Personnel\n\n\n\nCOURSE OUTLINE:\n\nIntroduction to hazards and risks\nSafety systems engineering\nStandards\nSafety Life Cycle (SLC)\nHazards and Risks Reduction\nProcess control vs Safety control\nSafety Integrity Level (SIL)\nRisk analysis and reduction\nSafety Instrumented Systems (SIS)\nHAZOP\nSafety requirement specifications\nTechnology choices and conceptual design\nReliability in safety systems\nField instruments and devices\nHardware & software\nOverall process\nManagement of change\nJustification\n\n\n\nABOUT THE COURSE LEADER:\nProf. Ir. Endra Joelianto\, Ph.D.\, SMIEEE is an expert in control engineering. His outstanding research is: Hybrid Control Systems\, Discrete Event Control Systems\, Petri Nets Analysis and Application on PLC\, Robust PID Controller\, Advanced Process Control\, Industrial Automation using PLC/ DCS. He received first degree (Ir.) in Engineering Physics in 1990 from Department of Engineering Physics\, ITB and Doctor of Philosophy (PhD.) in Control Engineering in 2001 from Department of Engineering\, The Australian National University\, Australia. \nPublic Training berikutnya : 3 – 5 Agustus\, 2026 | 12 – 14 Oktober\, 2026
URL:https://smart-training-center.com/event/safety-shutdown-system/
LOCATION:Bandung\, Jawa Barat\, Indonesia
CATEGORIES:Electrical,Engineering,Maintenance,Oil & Gas,Power Generation
ATTACH;FMTTYPE=image/jpeg:https://smart-training-center.com/wp-content/uploads/2024/11/Safety-Shutdown-System.jpg
ORGANIZER;CN="PT Fiqry Jaya Manunggal":MAILTO:info@fiqry.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20260601T083000
DTEND;TZID=Asia/Krasnoyarsk:20260603T160000
DTSTAMP:20260601T043918
CREATED:20241122T163235Z
LAST-MODIFIED:20260217T005417Z
UID:1028-1780302600-1780502400@smart-training-center.com
SUMMARY:Condition Based Maintenance and Analysis
DESCRIPTION:Background & About the Course\nIn modern industrial operations\, Condition Based Maintenance and Analysis System has become an increasingly relevant approach to enhance the efficiency and effectiveness of asset management. CBMS utilizes real-time data from asset conditions to plan timely and appropriate maintenance actions. This allows organizations to reduce downtime\, minimize unnecessary maintenance costs\, and extend the overall lifespan of assets. \nThis training is designed to provide a comprehensive understanding of the implementation and analysis of CBMS across various industrial sectors. Participants will learn data collection techniques\, asset condition analysis\, and strategic data-driven decision-making. With a technology and data-driven approach\, this training helps organizations adapt to the demands of Industry 4.0 and improve their business competitiveness. \nCourse Objectives\nAfter completing this training\, participants are expected to: \n\nUnderstand the concepts and benefits of Condition Based Management System (CBMS).\nIdentify the steps for implementing CBMS within an organization.\nConduct asset condition analysis using relevant techniques and software.\nDevelop condition-based maintenance strategies to enhance operational efficiency.\nReduce asset failure risks through data-driven decision-making.\n\nWho Should Attend\nThis training is recommended for: \n\nManagers and supervisors in maintenance and operations.\nEngineers responsible for asset maintenance and analysis.\nProfessionals in reliability engineering and asset management.\nIndividuals involved in infrastructure management and maintenance strategy development.\n\nCourse Outline\nFundamentals of Condition-Based Maintenance (CBM) \nIntroduction to CBM \n\nOverview of Condition-Based Maintenance and Management Systems\nEvolution from Preventive to Predictive Maintenance\nKey Principles and Benefits of CBM\n\nTools and Technologies for Condition Monitoring \n\nVibration Analysis\nThermal Imaging\nOil Analysis\nUltrasonic Testing\nEmerging IoT Sensors for Maintenance\n\nData Collection and Analysis \nTechniques for Collecting Real-Time Data \n\nWired vs. Wireless Data Acquisition Systems\nRole of Edge Computing and Cloud Integration\n\nPredictive Maintenance Tools \n\nMachine Learning Models for Anomaly Detection\nDigital Twin Technology for Asset Simulation\n\nData Interpretation and Fault Diagnosis \n\nIdentifying Common Equipment Faults from Data\nUsing AI to Enhance Diagnostic Accuracy\n\nWorkshop: Developing a Monitoring Framework for Assets \n\nHands-on Activity: Selecting Sensors and Tools for Specific Use Cases\nData Logging and Visualization Techniques\n\nIntroduction to CBM Software Platforms \n\nOverview of Popular CBM Software and Platforms (e.g.\, IBM Maximo\, SAP PM\, Azure IoT)\n\nStrategy Development and Implementation \nBuilding a CBM Strategy: From Planning to Execution \n\nSteps to Create a Comprehensive CBM Plan\nIntegration with Existing Maintenance Processes\n\nRisk Assessment and Decision-Making in CBM \n\nFailure Mode Effect Analysis (FMEA)\nPrioritizing Assets for CBM Based on Criticality\n\nPerformance Metrics for Evaluating CBM Success \n\nKey Performance Indicators (KPIs) for Maintenance Reliability\nContinuous Improvement through Feedback Loops\n\nFinal Presentation: Designing a CBM Plan for Your Organization \n\nGroup Presentations of CBM Plans\nFeedback from Facilitators and Peers\n\nAbout the Course Leader\nCecep Slamet Abadi\, ST.\, MT is an associate instructor at FJM with a background in Mechanical Engineering for both undergraduate and graduate studies. He has been an active lecturer since 1996 and has experience in industry and consulting\, including roles at LAPI ITB\, Puslitbang Air\, PINDAD\, and conducting energy audits at Pertamina EP Pangkalan Susu\, Tambung\, and Rengasdengklok. He is also part of the competency testing team for IATKI (Indonesian Electrical Engineering Association). \nIn terms of industrial training\, Mr. Cecep has conducted over 150 in-house and public training sessions for organizations such as Indonesia Power\, PLTA Saguling\, Freeport-Papua\, Chevron Oil/Gas\, Chevron Geothermal\, Premier Oil\, Pupuk Sriwijaya\, Pupuk Kujang\, Badak LNG\, and many others. \nPublic Training berikutnya : 6 – 8 July\, 2026
URL:https://smart-training-center.com/event/condition-based-maintenance-analysis/
LOCATION:Bandung\, Jawa Barat\, Indonesia
CATEGORIES:Maintenance
ATTACH;FMTTYPE=image/jpeg:https://smart-training-center.com/wp-content/uploads/2024/11/CBM.jpg
ORGANIZER;CN="PT Fiqry Jaya Manunggal":MAILTO:info@fiqry.com
END:VEVENT
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