Introduction
The programme “Smart Maintenance Using the Industrial Internet of Things (IIoT)” develops professional practice in Mechanical Engineering. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from maintenance planning, work orders, and execution measurement to reliability, predictive maintenance, and failure analysis, with practical work on information systems analysis, integration, and service management, designing digital transformation and developing services, mechanical equipment analysis and fault diagnosis. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Build a maintenance plan and work order connecting asset criticality, resources, and documentation in an application related to “Smart Maintenance Using the Industrial Internet of Things (IIoT)”.
- Analyze information system requirements and design acceptance, integration, and operational criteria.
- Assess digitization opportunities and define implementation requirements that improve a service or process.
- Interpret mechanical equipment performance and identify fault hypotheses and safe verification steps.
- Analyze asset failure and condition data to define a justified warning and maintenance intervention.
Learning areas
1. Maintenance Planning, Work Orders, and Execution Measurement
- Inventory assets and build a hierarchy, coding system, technical data, and maintenance history, classifying criticality by safety, service, and cost.
- Select a mix of preventive, condition-based, and corrective maintenance, connecting the decision to failure modes, data, and manufacturer instructions.
- Plan the work order's scope, resources, materials, time, isolation, and permits, and define readiness conditions before scheduling.
- Organize schedules, shutdowns, and equipment handovers between operations and maintenance, recording actual work, causes, parts, and time.
- Analyze backlog, recurrence, plan compliance, and reliability, and propose documented adjustments to maintenance tasks and their frequency. The application examines a case related to “Smart Maintenance Using the Industrial Internet of Things (IIoT)”.
2. Information Systems Analysis, Integration, and Service Management
- Analyze system users, processes, and the decisions it supports, translating needs into clear functional and nonfunctional requirements.
- Model data flows, entities, relationships, and interfaces, identifying each data item's source and the party responsible for its quality and updating.
- Compare build, buy, integration, and hosting alternatives according to constraints, security, total cost, and available support capabilities.
- Design test cases covering performance, permissions, usability, and integration, and connect each test to a testable acceptance criterion.
- Prepare a transition, operations, support, change management, and backup plan, defining indicators for service availability, fault resolution, and improvement review.
3. Designing Digital Transformation and Developing Services
- Distinguish information digitization, step automation, and business model transformation, and identify the problem targeted by the digital intervention.
- Map the beneficiary journey, touchpoints, and repeated data requests, and identify opportunities for simplification before selecting technology.
- Analyze readiness across procedures, skills, data, and technical infrastructure, and document gaps and dependencies on existing systems.
- Specify solution, integration, access permission, usability, and accessibility requirements, and establish testable acceptance criteria.
- Design a limited-scope pilot with indicators for time, quality, and use, and define conditions for continuing, adjusting, or stopping.
4. Mechanical Equipment Analysis and Fault Diagnosis
- Read training equipment data and diagrams, identifying function, operating conditions, design limits, and key measurement points.
- Analyze relationships between load, flow, pressure, temperature, and vibration, and review measurement quality before interpreting performance deviations.
- Identify failure modes involving components, seals, bearings, alignment, and lubrication, and connect fault symptoms to multiple testable hypotheses.
- Select inspections and diagnostic methods suited to the condition and criticality, and refer to manufacturer instructions and isolation and permit procedures before any intervention.
- Prepare a diagnostic report showing readings, evidence, possibilities, the next verification step, and the limits of conclusions from the available data.
5. Reliability, Predictive Maintenance, and Failure Analysis
- Define the asset's function, functional failure, and usage context, and assess the effects of failure modes before selecting a maintenance task type.
- Organize fault, downtime, repair, and condition reading histories, checking the quality of timestamps, classifications, and record completeness.
- Analyze trends, vibration, temperature, or other appropriate condition indicators, linking alerts to documented thresholds and specialist technical review.
- Distinguish correlation and prediction from proof of a failure's cause, and assess false and missed alarms and warning lead time before intervention.
- Design a condition monitoring pilot for a training asset, with escalation criteria and documentation of the maintenance decision, and verify the intervention's effect on reliability.
Practical outputs
- A maintenance plan, work schedule, work order card, and monitoring indicators.
- A requirements document, data flow map, and testing and acceptance plan.
- A digital transformation roadmap covering the beneficiary journey and implementation requirements.
- An equipment profile, fault diagnosis tree, and preliminary inspection plan.
- A failure mode analysis, condition monitoring plan, and alert and review rules.
Who should attend
- Engineers, technicians, supervisors and operations staff whose work relates to the programme subject.
- Managers and teams working in mechanical engineering, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Smart Maintenance Using the Industrial Internet of Things (IIoT)” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Smart Maintenance Using the Industrial Internet of Things (IIoT)” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.