Bently Nevada AnomAlert - Anomaly Detection System
AnomAlert Motor Anomaly Detector is a system of software and networked hardware that continuously identifies faults on electric motors and their driven equipment. AnomAlert utilizes an intelligent, model-based approach to provide anomaly detection by measuring the current and voltage signals from the electrical supply to the motor. It is permanently mounted, generally in the motor control center and is applicable to 3-phase AC, induction or synchronous, fixed or variable speed motors.
AnomAlert detects electrical faults and some mechanical faults, providing a diagnostic solution in situations where dedicated vibration monitoring is not practical or economical. For example, it can detect changes in the load the motor is experiencing due to anomalies in the driven equipment or process such as cavitation or plugged filters and screens. Since it doesn't require any sensor installation on the motor itself or associated load, AnomAlert is especially attractive for inaccessible driven equipment and is applicable to most types of pumps, compressors, and similar loads.
Each motor requires one AnomAlert,a network connection, and current and potential transformers. It can be configured entirely from the front panel. Additionally, each AnomAlert includes the AnomAlert Software necessary to obtain and display data in real-time from the device, to configure the performance of the device, and to save and subsequently retrieve data for display from its database. Networking protocols enable monitoring of motors and processes on remote machines using TCP/IP protocols over the Ethernet.
Pricing available upon request
Features and Benefits
- Requests corrective action when needed
- Low installation cost by utilizing existing potential and current transformers when available
- Enables more flexible application of technologies to support condition monitoring program
- Less plant personnel time required to support condition monitoring program
- Energy efficiency optimization through correct power factor and load balancing
- Enables remote diagnostic service capabilities
- Small hardware footprint with simple user display
- Increased machine availability from improved maintenance planning and fewer unexpected outages
- Low cost condition monitoring of difficult-to-access motors
AnomAlert is well-suited for rolling element bearing motors and driven loads for a variety of applications, including:
- Cryogenic motor-pump
- Remote Locations
- Hazardous Areas
- Fin Fans
|AnomAlert* Motor Anomaly Detector Datasheet - 286754K 899 KB||English|
|AnomAlert* Generator Anomaly Detector Datasheet - 288496C 419 KB||English|
|AnomAlert Motor Anomaly Detector Fact Sheet 55 KB||English|
|AnomAlert Motor-Driven Pumps Fact Sheet 293 KB||English|
|AnomAlert: Under the Hood White Paper 857 KB||English|
|Orbit AnomAlert Artesis Teknologi Sistemleri Condition Monitoring Partnership 1 MB||English|
|Orbit AnomAlert LNG Carrier Seawater Pump Condition Monitoring 1 MB||English|
|Orbit AnomAlert Predictive Maintenance 1 MB||English|
1-8 of 8
GE Updates XL Series of Video Borescopes for Remote Visual Inspection
New feature updates to versatile, industry-proven utility VideoProbe™
GE Brings Digital Solutions to Nondestructive Testing (NDT) Industry
Mentor UT™ Improves Productivity with the Power of Apps and Live Wireless Collaboration...
GE Releases Advanced Calibrator and HART/Foundation Fieldbus Communicator to Provide Greater Productivity in Hazardous Areas in the Process Industry
Latest Intrinsically Safe Druck DPI620 Genii IS offers world-class measurement and calibration with ATEX and IECEx Approvals
GE Strengthens OT Environments with IEC Cyber Security Standards
Leading industrial control solutions now compliant with IEC 62443-2-4 standards for enhanced security
Looking for software, a brochure, or a manual?
Visit the download center to find documents and software related to our products.
Contact us to learn more about how we are transforming the future of industry with our digital products, software and service solutions.