Overview
ISO 13374-4:2015 is an international standard focused on the presentation of condition monitoring and diagnostics (CM&D) information for machine systems. It establishes requirements for displaying diagnostic, prognostic, and health-related data in an open architecture software environment. The standard guides software design professionals on effectively presenting machine health information, advisories, and recommendations through computer interfaces and written reports, thereby supporting technical analysis and decision making.
This standard is part of the broader ISO 13374 series, which addresses data processing, communication, and presentation in CM&D systems. ISO 13374-4 specifically targets the display aspect, ensuring consistent, secure, and user-friendly presentation of critical machine condition data.
Key Topics
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Open CM&D Information Architecture
Defines how data objects, attributes, and relationships should be structured for effective presentation. Emphasizes separation of presentation logic from data content to enable flexible display formats and customization.
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Authentication and Authorization
Supports secure user identification and controlled access levels, enhancing system security and compliance with organizational policies.
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Internationalization and Localization
Enables software to adapt displays for different languages, regional settings, and cultural contexts without requiring engineering modifications, improving usability for global users.
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User Tracking & Configuration
Specifies methodologies for recording user interactions to meet regulatory requirements and provides options for users to customize their interface settings, preserving preferences across sessions.
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Technical Display (TD) Modules
Describes diagnostic data displays including refresh methods and rates. Encourages visual features like trend plotting to track condition changes over time.
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Information Presentation (IP) Modules
Focuses on actionable information, summarizing current and future machine health with clear advisories. Requires information origin identification, supporting transparency and traceability.
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Standardized Health Terminology for Non-Technical Users
Provides clear condition status categories-such as Good, Fair, Serious, Critical-that simplify interpretation of machine health reports for non-expert audiences.
Applications
ISO 13374-4:2015 is essential for professionals developing software systems that monitor machine health across various industries including manufacturing, energy, transportation, and utilities. Its practical applications include:
- Designing graphical user interfaces (GUIs) that display real-time condition data and diagnostics.
- Developing automated report generation tools for maintenance teams and management.
- Creating integrated monitoring systems capable of aggregating data from multiple sources and presenting unified insights.
- Ensuring secure access control and user management within condition monitoring platforms.
- Supporting global deployments by accommodating localization needs and multilingual displays.
- Enhancing decision support through clear visualization of machine health statuses, improving maintenance scheduling and reducing downtime.
Related Standards
ISO 13374-4:2015 complements other parts of the ISO 13374 series and relevant international standards:
- ISO 13374-1: General guidelines for condition monitoring and diagnostics data processing, communication, and presentation.
- ISO 13374-2: Detailed data processing methodology and requirements.
- ISO 13374-3: Data communication architecture specifications for open CM&D systems.
- ISO 13372: Vocabulary for condition monitoring and diagnostics of machines-providing standardized terms and definitions.
- ISO 8601: Representation of dates and times-important for consistent timestamping in monitoring systems.
- ISO/IEC 19501: Use of Unified Modeling Language (UML) for modeling software architecture.
By adhering to ISO 13374-4:2015, organizations can ensure their CM&D software solutions offer standardized, secure, and adaptable presentation of machine condition data. This promotes better decision making, enhances operational efficiency, and supports proactive maintenance strategies through clear, actionable information displays.