Industrial Automation Troubleshooting Training Course

Course Introduction

Industrial automation systems are the backbone of modern manufacturing, integrating programmable logic controllers (PLCs), Human Machine Interfaces (HMIs), sensors, actuators, industrial robots, variable frequency drives (VFDs), SCADA systems, and industrial communication networks to deliver efficient, reliable, and high-quality production. However, failures within these interconnected systems can result in costly downtime, production delays, quality defects, equipment damage, and safety risks. This comprehensive training course equips participants with the knowledge, diagnostic techniques, and practical troubleshooting methodologies required to identify, analyze, and resolve automation problems quickly while maintaining safe and reliable manufacturing operations.

Manufacturing organizations increasingly rely on automated production lines to improve productivity, reduce operating costs, and enhance operational consistency. As automation systems become more sophisticated, troubleshooting requires a structured understanding of electrical systems, control logic, instrumentation, industrial networking, software configuration, and equipment interaction. Participants will learn systematic fault-finding approaches that reduce diagnostic time, improve maintenance efficiency, eliminate recurring failures, and increase equipment availability while supporting continuous production and operational excellence across manufacturing facilities.

Industry 4.0 technologies have significantly transformed industrial automation by integrating Industrial Internet of Things (IIoT), cloud connectivity, artificial intelligence, edge computing, digital twins, predictive maintenance, advanced diagnostics, and real-time performance analytics. Modern automation systems continuously monitor equipment health, collect operational data, and generate intelligent alerts that enable proactive maintenance and faster troubleshooting. This course explores both traditional troubleshooting techniques and emerging digital diagnostic technologies that improve maintenance response, operational visibility, and equipment reliability within smart manufacturing environments.

Successful automation troubleshooting requires close collaboration among maintenance engineers, automation specialists, electrical engineers, production supervisors, instrumentation technicians, operations managers, quality professionals, information technology personnel, and equipment manufacturers. Organizations that combine structured troubleshooting methodologies with Lean Manufacturing, Total Productive Maintenance (TPM), Reliability-Centered Maintenance (RCM), root-cause analysis, and continuous improvement initiatives consistently reduce downtime, improve equipment reliability, and achieve higher manufacturing performance. Participants will gain practical skills for diagnosing automation failures across integrated industrial systems using proven engineering techniques.

Modern manufacturing facilities must also address evolving challenges including cybersecurity threats to industrial control systems, aging automation infrastructure, workforce skill shortages, integration of legacy and smart equipment, regulatory compliance, energy efficiency, sustainability objectives, and increasing production flexibility. Emerging technologies such as artificial intelligence-assisted diagnostics, collaborative robotics, machine learning, remote monitoring, digital twins, and predictive maintenance continue to redefine industrial troubleshooting practices. Participants will examine these developments while learning practical approaches for maintaining resilient, secure, and future-ready automated manufacturing operations.

Designed for automation engineers, electrical engineers, maintenance engineers, instrumentation technicians, manufacturing engineers, industrial engineers, production supervisors, operations managers, controls technicians, reliability engineers, maintenance planners, technical specialists, and professionals responsible for automated production systems, this intensive five-day training course combines engineering principles with practical industrial applications. Through troubleshooting simulations, industrial case studies, automation fault analysis, diagnostic exercises, network testing workshops, and hands-on problem-solving activities, participants will develop the expertise required to diagnose automation failures efficiently, restore production rapidly, and improve long-term manufacturing reliability.

Duration

5 days

Who Should Attend

• Automation engineers responsible for industrial control systems and production automation.

• Electrical engineers supporting automated manufacturing equipment and facilities.

• Maintenance engineers responsible for equipment reliability and fault diagnosis.

• Instrumentation technicians maintaining industrial measurement and control systems.

• Controls engineers working with PLCs, HMIs, SCADA, and industrial networks.

• Manufacturing engineers responsible for automated production process optimization.

• Industrial engineers supporting operational efficiency and manufacturing performance.

• Production supervisors managing automated production lines and manufacturing operations.

• Operations managers overseeing manufacturing reliability and production continuity.

• Reliability engineers, maintenance planners, technical specialists, engineering graduates, plant supervisors, and continuous improvement professionals involved in industrial automation.

Course Objectives

• Develop comprehensive knowledge of industrial automation architectures, control systems, troubleshooting methodologies, diagnostic tools, and fault analysis techniques that improve equipment reliability, minimize production downtime, enhance operational safety, and support manufacturing excellence.

• Learn structured troubleshooting approaches for identifying electrical faults, control logic errors, communication failures, instrumentation problems, mechanical issues, and software configuration errors affecting automated manufacturing systems.

• Gain practical expertise in diagnosing programmable logic controllers, Human Machine Interfaces, variable frequency drives, industrial robots, sensors, actuators, SCADA systems, and industrial communication networks supporting modern manufacturing operations.

• Apply systematic root-cause analysis techniques to eliminate recurring equipment failures, improve maintenance effectiveness, reduce repair time, increase asset availability, and strengthen long-term manufacturing performance.

• Strengthen competency in interpreting electrical drawings, wiring diagrams, control schematics, PLC programs, alarm histories, equipment documentation, and maintenance records supporting efficient fault diagnosis and corrective actions.

• Learn to utilize advanced diagnostic instruments including multimeters, oscilloscopes, network analyzers, vibration monitoring devices, thermal imaging systems, industrial software tools, and predictive maintenance technologies for comprehensive automation troubleshooting.

• Explore emerging technologies including Industrial Internet of Things, artificial intelligence-assisted diagnostics, digital twins, edge computing, predictive analytics, cloud-based monitoring, cybersecurity, and smart maintenance strategies supporting Industry 4.0 automation environments.

• Develop analytical skills for evaluating automation performance using equipment diagnostics, Overall Equipment Effectiveness, maintenance indicators, production analytics, fault history, operational dashboards, and continuous improvement methodologies.

• Understand industrial safety requirements, electrical protection principles, lockout/tagout procedures, cybersecurity practices, regulatory compliance, risk assessment, and secure troubleshooting methods supporting safe automation maintenance activities.

• Build practical capabilities through troubleshooting simulations, automation fault diagnosis exercises, industrial case studies, PLC troubleshooting workshops, network diagnostics, predictive maintenance demonstrations, and manufacturing improvement projects supporting effective workplace implementation.

Comprehensive Course Outline

Module 1: Fundamentals of Industrial Automation Systems

• Understanding automation system architecture supporting modern manufacturing operations.

• Identifying major automation components and their functional relationships.

• Automation control principles governing industrial production system performance.

• Common automation failures affecting productivity, quality, and equipment reliability.

Module 2: Electrical and Control System Troubleshooting

• Diagnosing electrical faults using systematic testing and measurement procedures.

• Reading control schematics and wiring diagrams for fault identification.

• Troubleshooting power distribution, motor control, and electrical protection systems.

• Identifying grounding, wiring, and electrical interference affecting automation reliability.

Module 3: PLC and HMI Troubleshooting

• Diagnosing PLC hardware, software, and programming-related operational failures.

• Troubleshooting Human Machine Interface communication and display issues efficiently.

• Monitoring PLC diagnostics, alarms, memory status, and processor performance.

• Resolving control logic errors impacting automated manufacturing operations.

Module 4: Sensors, Actuators, and Instrumentation

• Diagnosing sensor failures affecting production monitoring and automation accuracy.

• Troubleshooting actuators, pneumatic systems, and electro-mechanical control devices.

• Calibrating industrial instrumentation supporting accurate process measurements reliably.

• Evaluating signal integrity within industrial instrumentation and control systems.

Module 5: Industrial Communication Networks

• Troubleshooting Ethernet/IP, Modbus, PROFIBUS, and PROFINET communication failures.

• Diagnosing industrial network performance using specialized diagnostic software tools.

• Resolving communication latency, addressing conflicts, and network configuration errors.

• Securing industrial communication networks against operational disruptions and cyber risks.

Module 6: Drives, Motion Control, and Robotics

• Troubleshooting variable frequency drives controlling industrial motor applications.

• Diagnosing servo systems supporting high-precision manufacturing operations effectively.

• Identifying robotic control faults affecting automated production line performance.

• Optimizing motion control systems for improved operational stability and accuracy.

Module 7: SCADA, IIoT, and Smart Diagnostics

• Troubleshooting Supervisory Control and Data Acquisition system communication problems.

• Industrial Internet of Things diagnostics supporting connected manufacturing operations.

• Applying predictive maintenance tools to identify developing equipment failures.

• Utilizing cloud monitoring platforms for intelligent automation system diagnostics.

Module 8: Root-Cause Analysis and Reliability Improvement

• Applying root-cause analysis methods eliminating recurring automation failures permanently.

• Reliability-Centered Maintenance improving long-term equipment operational performance consistently.

• Failure Mode and Effects Analysis supporting proactive maintenance planning initiatives.

• Continuous improvement strategies reducing automation downtime and maintenance costs.

Module 9: Safety, Cybersecurity, and Compliance

• Applying lockout/tagout procedures during automation maintenance and troubleshooting activities.

• Industrial cybersecurity protecting automation infrastructure from digital operational threats.

• Risk assessment methodologies supporting safe diagnostic and maintenance practices.

• Regulatory compliance requirements governing industrial automation maintenance operations.

Module 10: Emerging Technologies and Future Automation

• Artificial intelligence supporting intelligent automation diagnostics and predictive maintenance.

• Digital twins improving troubleshooting through virtual equipment simulation capabilities.

• Edge computing enhancing real-time industrial monitoring and diagnostic responsiveness.

• Future trends shaping autonomous maintenance and resilient smart manufacturing systems

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.