Real-Time Monitoring, 24/7
Every signal from your equipment, monitored 24/7
From non-contact blade vibration measurement using blade tip timing (BTT) to prognostics and health management (PHM), edge AI acoustic emission (AE) sensors and valve dynamic diagnostics, we build online monitoring systems that go beyond condition monitoring to forecast when failures will occur.
Wind Turbine PHM
Wind turbine prognostics that calculate remaining useful life
A four-stage framework (data acquisition → diagnostics → prognostics → decision support) that goes beyond condition monitoring to optimize maintenance timing.
Data acquisition
Acquires equipment signals through fiber-optic and AE sensors and IoT networks.
Diagnostics
Detects the onset of damage early through real-time anomaly detection.
Prognostics
Calculates remaining useful life (RUL) to forecast when failures will occur.
Decision support
Optimizes maintenance timing to support operational decisions.
Six monitored areas
Main shaft
Fiber-optic strain · Bearing vibration
Gearbox
Lubricant oil analysis · AE · Vibration
Generator bearings
Temperature/vibration · FFT
Blade structure
Crack and delamination detection · Modal analysis
Tower structure
Integrity · Deformation trends
Nacelle environment
NDE DB · Cloud integration
We built the PHM system after applying it to a mock-up and acquiring data.
AE Edge Sensor
Unattended 24/7 monitoring of hydrogen-induced microcracks
An integrated module combining an AE sensor, waveguide and embedded DAQ is mounted on hydrogen piping to provide unattended 24/7 monitoring of microcrack initiation and growth caused by hydrogen embrittlement. Edge AI makes the first-level assessment on site and issues four-level alarms.
4-Level Alarm
Four-level edge AI alarms
Applications
- Hydrogen piping
- Balance of plant (BoP)
- Pressure vessels
- Power generation equipment
Valve Diagnostic System
Quantitative diagnostics of valve dynamic characteristics
We quantitatively diagnose the dynamic characteristics of air-operated valves (AOVs) and motor-operated valves (MOVs). Automatic diagnostics also cover current-to-pressure (I/P) transducer hysteresis and supply air pressure variations.
AOV
Air-operated valves (AOVs)
- Travel
- Hysteresis
- Linearity
- Spring rate
- Seat load
MOV
Motor-operated valves (MOVs)
- Stem thrust
- Torque
- Stroke time
- Limit switch
DAQ specifications
| Item | Specification |
|---|---|
| Input range | ±10 V / 200 mA differential |
| Bandwidth | DC–40 kHz |
| Signal-to-noise ratio | 65 dB |
| Accuracy | ±0.5% |
| Platform | LabVIEW-based |
Scope · Deliverables · Standards
Scope, deliverables and standards
| Item | Details |
|---|---|
| Applicable equipment / industries | Rotating blades in gas turbines, aero-engines and compressors; wind turbines (from main shaft to tower); hydrogen piping, balance of plant and pressure vessels; air-operated and motor-operated valves in power plants |
| Deliverables | BTT vibration analysis reports (BVMS Diag), PHM remaining useful life (RUL) results, AE monitoring alarm reports, valve dynamic characteristics diagnostic reportsNote: Detailed report formats are proposed at the outset and finalized in consultation for each project. |
| Applicable standards | Blade tip timing (BTT) analysis using single-degree-of-freedom (SDOF) and circumferential Fourier fit (CFF) methodsNote: Other applicable standards are agreed on a project-by-project basis. |
Ready When Reliability Matters
When integrity needs proof, PILETA delivers
The PILETA Test & Evaluation Center is accredited by the Korea Laboratory Accreditation Scheme (KOLAS) as a testing laboratory (Accreditation No. KT921). From testing and failure analysis to digital solution consultations, our engineers respond to you directly.
T. +82-42-368-0180 · pileta@pileta.co.kr