Oil & Gas

Machine Learning with Autonomous Learning

Using AI and Machine Learning to help keep Assets up and Running Smoothly

New Visibility across Your Plant

Access Edge Intelligence with Autonomous Learning

wave iQ®

Serving Four Key Industries

You now have the ability to monitor, analyze and action asset 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

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.

Relay Validation | Harmonic Mitigation | Design Optimization

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.

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

Continuous Harmonic Capture - Per IEEE-519:2022

Optimizing wind energy system design, including capacitive compensation and harmonic filtering depend on accurate grid baselining, which can only be done at the edge. Fischer Block, Inc. is proud to be providing this critical insight to New Jersey's newest multi-year off-shore wind farm project.

When electrical circuits experience nuisance tripping, customers along the line feel it most.

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.

2 Implementation Options

Option 1

Option 2

Our commitment:

Sustainability

When electrical circuits experience nuisance tripping, customers along the line feel it firsthand. And, if water pumps stop as a result, little time is available before serious conditions can arise. 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 hydro industry.