ISO 13379-1:2012

Overview

ISO 13379-1:2012 - "Condition monitoring and diagnostics of machines - Data interpretation and diagnostics techniques - Part 1: General guidelines" provides high-level guidance for interpreting condition monitoring data and carrying out diagnostics on industrial machines. The standard helps users and manufacturers share common concepts for machine diagnostics, prepare the technical characteristics needed for diagnosis, and adopt appropriate approaches to identify machine faults. Typical machine sets covered include turbines, compressors, pumps, generators, electrical motors, blowers, gearboxes, and fans.

Key technical topics and requirements

• Scope and purpose: Establishes general guidelines (not machine‑specific) to support consistent data interpretation and diagnostics across condition monitoring (CM) systems.
• Condition monitoring and diagnostics lifecycle: Describes a V‑shaped design/use cycle covering preliminary study, commissioning, ongoing monitoring and diagnostic activities.
• Diagnostics requirements report: Guidance to prepare the technical characteristics, reference conditions and monitoring needs used for fault diagnosis.
• Failure Mode Symptoms Analysis (FMSA): A structured methodology to map components → failure modes → causes → symptoms → monitoring techniques, including guidance on monitoring frequency and correlation techniques.
• Integration with FMEA/FMECA/RCM: Recommends using FMECA and related maintenance-optimization methods as inputs to diagnostics planning.
• Elements used for diagnostics: Defines categories of data required - condition monitoring data, machine data, and machine history - for robust interpretation.
• Diagnostic approaches: Discusses two broad classes - data‑driven approaches and knowledge‑based approaches - and offers selection guidelines for each.
• Confidence and prioritization: Procedures for rating Detection (DET), Severity (SEV), Diagnosis confidence (DGN), Prognosis confidence (PGN) and computing a Monitoring Priority Number (MPN). Annexes provide examples (diagnostic reports, causal trees, confidence determination).
• Normative reference: Uses vocabulary from ISO 13372 for consistent terminology.

Practical applications

• Designing and specifying condition monitoring and diagnostics systems for industrial assets.
• Selecting monitoring techniques and sensors that maximize detectability and diagnostic confidence.
• Preparing diagnostics requirements reports and monitoring schedules for predictive maintenance programs.
• Prioritizing faults to monitor (using FMSA and MPN) and correlating multiple techniques to improve diagnosis and prognosis.
• Feeding diagnostics outputs into maintenance decision‑making (work orders, spare parts planning, risk mitigation).

Who should use ISO 13379-1:2012

• Reliability, maintenance and asset managers
• Condition monitoring system manufacturers and integrators
• Vibration analysts, Rotating machinery specialists, and diagnostic engineers
• Facilities and operations engineers implementing predictive maintenance or RCM programs

Related standards

• ISO 13372 - Condition monitoring and diagnostics of machines - Vocabulary (normative reference)
• Planned complementary parts: ISO 13379‑2 (Data‑driven applications) and ISO 13379‑3 (Knowledge‑based applications)

Keywords: ISO 13379-1:2012, condition monitoring, machine diagnostics, data interpretation, FMSA, FMEA, predictive maintenance, diagnostic techniques, monitoring priority number.