FLIR Si2-PD

Industrial Acoustic Imaging Camera for Partial Discharge Detection

The FLIR Si2-PD acoustic imaging camera by Teledyne FLIR helps you reduce maintenance costs for electrical equipment by offering an effective solution for partial discharge (PD) detection and response.

Description

Specs

Description

This camera detects, locates, classifies, and assesses PD faults from up to 200 m (656 ft) away, identifying PD issues 30 times smaller than previously possible. It provides on-camera and software-based severity assessments, giving you the decision support needed for precise maintenance decisions.

For specific applications, you can choose the Si2-LD for leak detection and bearing fault detection, or the Si2-Pro for comprehensive electric utility, leak detection, and bearing fault detection applications. These models are available in the related products section, allowing you to customize your maintenance approach to suit your needs.

Specs

Technical Specifications
Severity Assessment	Automatic AI-based severity assessment including recommended actions onboard camera
Distance	From 0.3 m (1.0 ft) up to 200 m (656 ft)
Leak Rate	0.0032 l/min from 2.5 m (8.2 ft), 0.0044 l/min from 6 m (19.6 ft)
Wireless Data Transfer	Wi-Fi 2.4 GHz and 5 GHz IEEE 802.11.b/g/n/ac wireless LAN

Features

Below, you will find the main features of the product.

Fleet Management Functionality

Ensure optimal use and maintenance of equipment in large-scale industrial settings with fleet management, cloud data integration, and OTA software updates. Combine acoustic and thermal imaging in the same report.

Advanced Partial Discharge Detection

Identify PD issues from up to 200 m (656 ft) away and 30 times smaller than those detectable by previous generations, it is indispensable for ensuring operational efficiency and safety.

Comprehensive Analysis Tools

Detailed analysis tools including in-device categorization of discharge type, severity, and recommended actions – aiding in swift decision-making and appropriate response planning.