Integrated Monitoring for Transformers and Overhead Grid Assets

From transformer internal faults to overhead line events, HERTZINNO combines online DGA, acoustic voiceprint analysis, overhead line fault indication and traveling-wave distribution line monitoring to support earlier warning, faster fault location and smarter grid maintenance.

Online Monitoring Products

Online DGA,HERTZINNO,

Online DGA for Transformer

The Hertzinno DGA is a new-generation online DGA featuring proprietary technological innovations.By integrating enhanced photoacoustic spectroscopy (PAS) with photonic spectroscopy, this system enables continuous online monitoring of 9 fault gases and trace moisture in transformer oil.The system provides the earliest possible warning by detecting faults during their formation phase, before electrical protection systems respond.
HERTZINNO,HERTZINNO,

Smart Grid Fault Indicators (OLF)

The "Watchdog" for distribution networks. Detect short circuits and earth faults instantly with IoT connectivity.
From 5kV to 500kV, Hertzinno brings smart grid solution coverd distribution lines and transmission lines.
Acoustic Fingerprint Box,HERTZINNO,

Transformer Acoustic Fingerprint Monitoring

HERTZINNO acoustic fingerprint systems learn the normal voiceprint of transformers and detect abnormal humming, vibration, cooling fan noise, oil pump degradation and mechanical changes. Combined with online DGA, voiceprint monitoring gives operators a broader view of transformer health.
DTS & DAS Fiber Sensing for Smart Grid Monitoring,HERTZINNO,

Fiber Sensing for Smart Grid Assets

HERTZINNO DTS and DAS systems turn fiber optic cables into distributed sensing networks for smart grid infrastructure. DTS provides continuous temperature visibility along power cables, cable tunnels, trenches and transformer-related routes, while DAS detects vibration, disturbance and third-party interference along transmission corridors, underground cables and critical grid perimeters.
Monitoring Architecture

One monitoring layer for transformer health and grid fault response

HERTZINNO combines online DGA, acoustic voiceprint monitoring, overhead line fault indication, smart distribution line monitoring and distributed fiber sensing to cover transformer internal faults, abnormal equipment sound, overhead line events, cable thermal risks and grid corridor disturbances.

From transformer signals to grid-level intelligence.

Different faults produce different physical signals. Transformer internal faults may appear as dissolved gases and moisture. Mechanical degradation may first appear as abnormal sound. Overhead line faults require fast indication and location. Cable routes and grid corridors need distributed temperature and vibration visibility.

01
Sense Gas, moisture, sound, fault current, traveling wave, temperature and vibration signals.
02
Analyze Edge devices and platforms identify fault type, abnormal trend, event location and risk level.
03
Respond Operators receive alarms, location support and diagnostic information for faster maintenance action.
Transformer Health

Online DGA Layer

Monitors dissolved fault gases and moisture in transformer oil to identify overheating, arcing, partial discharge and insulation deterioration at an early stage.

Acoustic Intelligence

Voiceprint Monitoring Layer

Learns the normal sound pattern of transformers, cooling fans, oil pumps and auxiliary equipment, then detects abnormal humming, vibration and mechanical sound changes.

Overhead Line

OLF Fault Indication Layer

HZ-OLF-100 supports short-circuit fault detection, ground fault detection, poor contact fault detection, insulator fault detection and section-level line fault awareness.

Distribution Line

TWF Fault Localization Layer

HZ-TWF-30 monitors medium-voltage overhead distribution lines with traveling-wave fault localization, grounding fault detection, lightning event recognition and cloud-based diagnostics.

Fiber Sensing

DTS & DAS Route Monitoring Layer

Distributed fiber optic sensing monitors cable temperature, tunnel hotspots, route vibration, third-party disturbance and grid corridor security across long-distance infrastructure.

Gas & Moisture Online DGA for transformer internal fault trends.
Sound Pattern Voiceprint monitoring for abnormal equipment acoustic signatures.
Line Fault OLF indication for overhead line section awareness.
Traveling Wave TWF localization for distribution line fault position support.
Temperature & Vibration DTS / DAS for cable routes and grid corridors.
What Each Signal Detects

Match each grid risk with the right monitoring technology

Transformer and grid faults do not appear through one signal only. HERTZINNO combines gas, moisture, acoustic, fault current, traveling-wave, temperature and vibration sensing to provide earlier warning and clearer fault response across transformer and overhead grid assets.

Risk Signal
What It Detects
Recommended Technology
Related Product / Application
Dissolved Fault Gas & Moisture Transformer Internal Health
Overheating, arcing, partial discharge, insulation aging and moisture-related transformer risks.
Online dissolved gas analysis and transformer oil moisture monitoring.
Online DGA
Transformer health monitoring and early fault diagnosis.
Abnormal Sound Pattern Acoustic Voiceprint
Abnormal transformer humming, vibration, cooling fan issues, oil pump degradation and mechanical sound changes.
AI acoustic voiceprint analysis and abnormal sound pattern recognition.
Transformer Acoustic Fingerprint Monitoring
Voiceprint monitoring for transformers and auxiliary equipment.
Overhead Line Fault Current Fault Indication
Short-circuit faults, ground faults, poor contact, insulator faults and line section abnormality.
Overhead line fault indication and section-level fault awareness.
HZ-OLF-100
Overhead line fault indicator for transmission and distribution line sections.
Traveling-wave Transient Signal Fault Localization
Medium-voltage distribution line faults, grounding faults, short circuits, open conductor faults and lightning-related events.
Traveling-wave based fault localization, synchronized timing analysis and cloud diagnostics.
HZ-TWF-30
Smart overhead distribution line monitoring with 4G / APN platform communication.
Distributed Temperature Change Cable Thermal Risk
Cable tunnel hotspots, overload, local temperature rise, fire-risk zones and thermal anomalies along power routes.
Distributed temperature sensing using optical fiber as a continuous temperature sensor.
HZ-DTS Series
Cable temperature monitoring and thermal risk detection.
Route Vibration & Disturbance Grid Corridor Security
Third-party intrusion, digging, vibration events, cable route disturbance and grid corridor security risks.
Distributed acoustic sensing for route-level vibration and event recognition.
DAS Platform
Fiber sensing for long-distance grid route and infrastructure monitoring.
Why this matters: A single monitoring method cannot cover every grid risk. By combining DGA, acoustic voiceprint, overhead line fault indication, traveling-wave fault localization, DTS and DAS, HERTZINNO helps operators build a more complete transformer and grid monitoring layer.
Common questions about online DGA, transformer voiceprint monitoring, DTS and DAS fiber sensing for smart grid assets.

What is the best way to monitor transformer health online?

Online transformer monitoring usually requires more than one signal. Online DGA tracks dissolved fault gases and moisture inside transformer oil, while acoustic voiceprint monitoring detects abnormal humming, vibration, cooling fan noise and oil pump changes. Together, they help operators identify internal electrical faults and external mechanical issues earlier.

Why is online DGA important for transformers?

Online DGA helps detect early transformer faults by monitoring dissolved gases generated by overheating, arcing, partial discharge and insulation deterioration. Compared with periodic oil sampling, online DGA gives operators a continuous view of transformer condition and helps reduce delayed fault diagnosis.

What does transformer acoustic voiceprint monitoring detect?

Transformer acoustic voiceprint monitoring learns the normal sound pattern of a transformer and its auxiliary equipment. It can help detect abnormal humming, core looseness, vibration, cooling fan issues, oil pump degradation, mechanical noise and possible sound changes related to partial discharge.

How do DTS systems support smart grid monitoring?

DTS turns fiber optic cable into a distributed temperature sensor. In smart grid applications, DTS can monitor power cable temperature, cable tunnels, trenches, transformer-related routes and fire-risk areas. It helps operators identify thermal hotspots, overload risks and abnormal temperature changes along the full cable route.

How does DAS help protect power cables and grid routes?

DAS uses fiber optic sensing to detect vibration and disturbance along long-distance routes. It can help identify digging, third-party construction, vehicle activity, external interference and abnormal vibration around underground cables, utility tunnels, transmission corridors and substation perimeters.

Should DGA, acoustic voiceprint, DTS and DAS be used together?

Yes, when the site requires broader asset visibility. DGA monitors internal transformer health, acoustic voiceprint monitoring listens for transformer and auxiliary equipment changes, DTS tracks temperature along cables and tunnels, and DAS detects vibration or intrusion along grid routes. Together, they create a more complete smart grid monitoring layer.

Can HERTZINNO systems connect to SCADA or other monitoring platforms?

Yes. HERTZINNO monitoring devices can provide alarms, trend data and diagnostic outputs to SCADA, asset management systems or third-party monitoring platforms depending on the project architecture, communication protocol and integration requirements.

Which HERTZINNO products are recommended for transformer and smart grid monitoring?

Recommended products include HZ-DGA-900 or HZ-DGA-500 for online transformer DGA, HZ-FA-110 for transformer acoustic voiceprint monitoring, HZ-DTS for distributed cable temperature monitoring and HZ-iDAS for route-level vibration and disturbance detection.

How does HZ-OLF-100 support overhead line fault indication?

The system support detect current change in a short time

What is the difference between HZ-OLF-100 and HZ-TWF-30?

HZ-TWF-30 supports high accuracy localization to 150m, and OLF 100 only supports fault between 2 sensors.

Recent Projects

Here are some application cases of our transformer and smart grid solutions.

DGA Monitoring Enhances Transformer Reliability at Guoneng Shenwan Chizhou Power Generation Co., Ltd.

At Guoneng Shenwan Chizhou Power Generation Co., Ltd., the #1 and #2 main transformers (manufactured by Baoding Tianwei Baobian Electric Co., Ltd.) and the #01 high-voltage starting/standby transformer (manufactured by Xi'an XD Transformer Co., Ltd.) have been in service since June 2005. With nearly two decades of operation, these assets require advanced monitoring to preempt potential failures.
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Lighting's new production hall and office building

Horqin Substation plays a critical role as a regional power grid hub, with equipment operating under high loads for extended periods. Traditional inspection methods (infrared thermography, temperature sensors, manual patrols) can identify well‑developed faults such as overtemperature or visible discharges. However, they struggle to detect early‑stage mechanical anomalies or incipient partial discharges – often before any thermal signature appears.
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