FLIR SV88-KIT Vibration Monitoring Solution with 2 SV88 Sensors

The Flir SV88™ Vibration and Temperature Monitoring Kit helps you monitor critical equipment by continuously analyzing vibrations from rotating equipment, detecting faults, and alerting you to potential defects and future problems. With its Multi-communication protocols, rugged, IP66 rating and wireless capability, the SV88 Vibration Monitoring Solution Kit allows you to make critical data-driven decisions that alert you to potential issues to aid in extending the life of your valuable assets.

Get comprehensive insights to identify patterns, trends, potential failure modes, and the severity of detected issues in your equipment - Averting costly downtime

Wireless capability enhances installation flexibility, enabling easy deployment in a range of industrial environments The SV88 seamlessly integrates with advanced analysis tools through multi-communication protocols such as Modbus, MQTT, and OPC UA.

Web based GUI for accessing vibration data, deploying sensors, and managing integrations, all performed on Gateway, ensuring you have complete control over your vibration solution.

Features:

• Precise measurements of GRMS, VRMS, peak, crest factor, kurtosis, skewness, standard deviation, and FFT analysis provides users with detailed insights into the vibrational characteristics of their equipment to prevent costly downtime.
• Wireless capability enhances flexibility in installation, allowing for easy deployment in various industrial environments.
• Rugged, IP66 rating ensures reliable performance in demanding conditions subject to moisture, dust, or debris.
• Multi-communication protocols (Modbus, MQTT, OPC UA) for integration with advanced analysis tools.

Main Applications:

• Condition monitoring of critical equipment: By continuously analyzing vibrations from rotating equipment, it enables the necessary insights to utilize predictive maintenance strategies.
• Fault detection of vibration patterns such as: misalignment, bearing defects, or gear damage.
• Data-driven decision making for reliability-centered maintenance to help identify patterns, trends, potential failure modes and the severity of detected issues.

For more information, please see Data Sheet