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Maintenance Management

Automated Fault Detection in Vibration Data

Continuous online vibration monitoring generates far more data than analysts can review manually. Automated fault…

Code BII-AFDVIB 3-Day Dubai, London, Nairobi, Online Online + Classroom
Overview

Course Description

Continuous online vibration monitoring generates far more data than analysts can review manually. Automated fault detection uses algorithms and AI to screen vibration data continuously, flagging developing faults for analyst attention. This course focuses on building and operating automated vibration fault detection.

Participants learn how automated detection works — from alarm strategies and statistical methods to machine-learning-based anomaly detection — and how to deploy it in online monitoring systems. The course addresses the practical realities of automated screening: reducing false alarms, prioritising alerts, and integrating with analyst workflows.

Objectives

What you will achieve

By the end of this training course, participants will be able to:

  • Explain the role of automated fault detection in vibration monitoring
  • Apply alarm strategies and statistical detection methods
  • Use machine learning for automated anomaly detection
  • Reduce false alarms and prioritise alerts
  • Integrate automated detection with online monitoring systems
  • Design analyst workflows around automated screening
  • Validate automated detection performance
  • Balance automation with analyst judgement
Training methodology

How the course is delivered

The course combines automated detection concepts with practical examples from online vibration monitoring. Participants explore alarm strategies, anomaly detection, and false-alarm reduction on realistic monitoring data.

The programme emphasises practical deployment and integration with analyst workflows.

Who should attend

Designed for

This training course is ideal for:

  • Condition monitoring and vibration analysts
  • Online monitoring system engineers
  • Reliability engineers scaling CM programs
  • CM program managers
  • Technical staff deploying automated detection
Course outline

Daily programme

DAY 01Automated Detection Foundations
  • The need for automated fault detection
  • Alarm strategies and thresholds
  • Statistical detection methods
  • Online monitoring systems
DAY 02Machine Learning Detection
  • Anomaly detection for vibration
  • Reducing false alarms
  • Alert prioritisation
  • Detecting developing faults
DAY 03Deployment and Workflow
  • Integrating with online monitoring
  • Analyst workflow design
  • Validating detection performance
  • Case study workshop and review
Certificate

Certification & accreditation

BII Certificate of Completion

BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.

Schedule

Upcoming sessions

DatesVenueFormatFee
23 - 25 Nov 2026 Nairobi Classroom US$ 3950 Register
30 Nov - 02 Dec 2026 London Classroom US$ 3950 Register
02 - 04 Aug 2027 Dubai Classroom US$ 3950 Register
18 - 20 Oct 2027 Online Online US$ 3950 Register
Enrolment

Register, request in-house, or download the agenda

Choose an action and share your details — our team responds within one business day with dates, fees and the full programme.

Poster