Integrating Renewables
Using AI and Machine Learning to help keep Wind Turbines up and Running Smoothly
New Visibility Up and Down-Tower
Maintain Healthy Assets with Autonomous Learning
wave iQ®
Serving Four Key Industries
Electrical Grid
Renewable Energy
Industrial Plant
Oil & Gas
You now have the ability to monitor, analyze and action asset performance data in an entirely new way. At the core of the edge intelligent sensors and wave iQ® platform is an Advanced Sensing and Prediction engine, applying machine learning algorithms to electrical waveform signals, providing new insight into pending problems with a systematic approach to pre-fault detection and avoidance.
Improving Reliability and Profitability
Core Applications
Unmatched Visibility with SCADA+
With SCADA+, you leverage the computational power of "intelligence at the edge" bringing results of high-resolution waveform analysis to your SCADA dashboard to help predict and prevent failure.
Predicting Faults - with Atlas AI™
At the core of wave iQ® and the SMART Block® devices, Atlas AI™ is always running, analyzing, and learning from past and current events, helping to predict and prevent the next outage.
Using Sequence Components to calculate DTF
Using industry proven impedence-based algorithms, wave iQ® Series pinpoints the location of faults so repairs can be undertaken quickly and safely.
| Condition Monitoring | Failure Prediction | Fault Location |
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Validating Relay Performance
Correct operation of protection relays is important to prevent nuisance tripping and also to help ensure the safety of the grid. Learn how SMART Block® edge devices are being used to validate the performance of protection relays.
Mitigating the Effects of Unwanted Harmonics
Excessive Harmonic content is a sure sign of problems ahead, with over-heating and stress on equipment. Real-time monitoring of over 50 harmonics helps ensure you avoid harmonic-related problems.
Knowing Your Harmonic Impedances
Harmonic impedance characterizes the voltage response of a power system when it is subjected to the influence of high-frequency currents. Thus, can be used to help diagnose high-frequency related power system problems and in designing harmonic mitigation filters.
API Builder enables seamless integrations
With only a few clicks, the API builder automatically creates the API call script which can be pasted into an existing application for easy access to edge intelligence and wave iQ® analytical results.
Stay Informed with Alert Notifications
With wave iQ® Daily Reports and Alert Notifications, you can rest assured knowing all is up and running smoothly on your network. Designate authorized users and notification schedules to ensure proper communication of key insights.
Delivered Reports with Premium Support
With Premium Support, get reports delivered to your inbox providing a detailed overview of the asset status on your farm or across multiple farms.
Bringing value to our customers
When Power Quality Really Matters
When COVID 19 vaccine research was at stake, complex testing and controlled experimentation had little tolerance for even minor fluctuations in power quality. Our customers turned to Fischer Block, Inc. to provide high-accuracy monitoring and the predictive analytics needed to keep critical processes on track.
Optimizing Wind Energy Design
Optimizing wind energy system design, including capacitive compensation and harmonic filtering, depends on accurate grid baselining, which can only be done at the edge. Fischer Block, Inc. is proud to provide this critical insight to New Jersey's newest multi-year offshore wind farm project.
Power Quality, Energy Management, and Asset Health
Not long ago, an industrial plant would have needed three separate systems to ensure high quality power, efficient energy usage, and to maintain asset health. Fischer Block, Inc. offers the most comprehensive platform in industry, combining machine learning and predictive analytics technologies to help keep industrial plants up and running smoothly.
Helping Hydro Power Bring Water to the Southwest
Fischer Block, Inc. is proud to have been selected to provide an early warning system, using machine learning and predictive analytical techniques, which is in use today, improving energy delivery reliability to this critical region.