To monitor and detect data anomalies from sensors with AI / ML

Ensure “clean data” from sensors to reduce risk and support digital transformation with Proficy Sensor Health.

Automatically generate alerts to speed up response

Erroneous data from sensors can lead to product loss, plant downtime, compliance issues and safety/safety risks, as well as a database of “dirty data” that could undermine digital transformation and continuous improvement programs.

Over time, sensors tend to drift, affecting processes and operations. For this reason, in many regulated and compliant industries, it is necessary to carry out periodic calibrations and recalibrations. However, it is time consuming – and impossible for most organizations – to manually determine if and why the sensors are working or not working before the risk increases.

Proficy Sensor Health is one app with built-in intelligence: continuously monitors and analyzes data from sensors, with Machine Learning and Artificial Intelligence models. It makes it possible to locate anomalies and quickly minimize their potential impact.

Ensure clean sensor data for downstream analysis and optimization

Proficy Sensor Health provides an easy way to automate the recognition of faulty sensors, and can generate alerts to expedite repairs, replacements and recalibrations.

Plus, with Proficy Sensor Health, you know you're always leveraging the best possible sensor data as the foundation for advanced analytics and optimizations.

Features of Proficy Sensor Health

Reduce downtime and plant shutdowns by continuously monitoring sensor data.

Sensors are used to provide indications that equipment is functioning properly and therefore erroneous readings can lead to equipment failure or damage.
Early detection that a sensor is no longer providing accurate or consistent results can give an early warning that allows maintenance technicians to replace or recalibrate the sensor before damage occurs.

Proficy Sensor Health addresses the following challenges:

  • Legacy Sensors lost connection
  • Remote connections, islands of automation
  • Sensor connected, but information difficult to identify
  • Real-time reading, no historical data
Improve product quality

Sensors typically measure the results of a product or ensure that the entire environment surrounding a process is within specification. If the sensors used to measure the product or the environment are inaccurate or malfunction, the products may not meet specifications.

With Proficy Sensor Health, you can provide pre-alerts that reduce costs associated with product recalls or scrap.

Examples of detected anomalies:

  • Abnormal or borderline values
  • Missing data
  • Constant value
  • bias / offset
  • Drift
  • RoC – Rate of Change, derivative
  • And again, under study: random error; inactivity – xtuck to zero, dead sensor; abnormal behavior resolution
Facilitate compliance and reduce risk

If a sensor reads incorrectly, you may not be aware that potentially out-of-spec operation puts you at risk of non-compliance. You can reduce your risk by continuously monitoring sensor data to evaluate sensor performance and know that your data is as accurate as possible.

Compliance depends on all equipment and systems functioning properly, and you can increase your ability to meet industry, internal, and regulatory standards.

Proficy Sensor Health can monitor and analyze data from:

  • Pressure sensors
  • Temperature sensors
  • Flow and level sensors
  • Humidity sensors
  • Smoke sensors, gas sensors
  • And still others
Increase sensor data quality for digital transformation and continuous improvement

You can improve IoT analytics, digital transformation, and Lean continuous improvement from the ground up by making sure your sensor data is clean and reliable.

If your intent is a more advanced use of analytics, data quality is key.

Proficy Sensor Health leverages data captured by sensors to automatically learn normal behavior, determine operating limits, and look for patterns and patterns to help identify sensor problems in the field.

With accurate sensor data, you can tightly aggregate data from different sources to:

  • Quickly identify problems
  • Discover the root causes
  • Predict ongoing performance
  • Optimize process settings
  • Continuously improve Operations
Accelerate time to value with an out-of-the-box analytics app and superior UX

Proficy Sensor Health is an easy-to-use app that requires no programming, IT, or data scientist. This intelligent app is embedded within GE Digital's Proficy Operations Hub, and enables mapping to model elements representing historical sensor data tags. Teams can quickly see analytics and status with Proficy Operation Hub's high-performance visualization and superior US User Experience.

With information and alarms visible at a glance, you can identify faulty sensors faster and provide correct results:

  • Common view
  • Shows sensor data quality in the HMI via the Sensor Health app

For information and registration:
www.servitecno.it
https://www.ge.com/digital/applications/proficy-operations-hub/sensor-health

For more information contact us!
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