Condition Assessment System

ValveIQ

Acoustic-emission based severity assessment for reciprocating gas compressor valves, so maintenance can be scheduled against condition rather than calendar.

The problem

Reciprocating compressor valves fail progressively, and the failure is largely invisible from outside the machine. Maintenance is therefore scheduled on a calendar — replacing components that are still serviceable, while occasionally missing one that is degrading quickly.

System architecture

How the system is put together.

  1. Compressor valve
  2. Acoustic emission
  3. Signal processing
  4. Feature extraction
  5. Severity model
  6. Maintenance action
01

Acoustic acquisition

Capturing emission from the valve at a sampling rate that preserves the event.

02

Signal processing

Filtering and transformation to isolate the components carrying condition information.

03

Feature extraction

Deriving the measurable descriptors that correlate with degradation.

04

Severity model

Classifying severity against a labelled reference set, with confidence reported.

05

Maintenance integration

A prediction only has value once it reaches the maintenance plan.

Capabilities

Core capabilities.

  • Signal processing
  • Feature extraction
  • Severity classification
  • Condition monitoring
  • Maintenance planning

Technical overview

This is an active research and engineering programme rather than a published product. The approach is deliberately narrow — one machine type, one failure mode, one signal — because that is the scope in which industrial condition models are reliable. No public demonstration is available yet.

Active engineering programme. No public demonstration is published yet.

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