Company Filing History:
Years Active: 2008
Title: **Richard J. Fickelscherer: Innovator in Process Control Systems**
Introduction
Richard J. Fickelscherer is an accomplished inventor based in Forestville, NY. With a focus on enhancing process control systems, he has developed significant innovations that address the challenges of real-time monitoring and predictive fault analysis.
Latest Patents
Fickelscherer holds a patent titled "Method and system of monitoring, sensor validation, and predictive fault analysis." This invention presents an advanced method and system for real-time monitoring, validation, optimization, and predictive fault analysis in process control systems. It continuously analyzes sensor measurements to provide predictive alarms, using models of normal process operations and statistical parameters. Additionally, the invention generates secondary residual process models, allowing the creation of fault analyzers that can automatically generate linearly dependent models from independent ones. Fuzzy logic plays a critical role in identifying faults by computing certainty factors and validating underlying assumptions.
Career Highlights
Richard is currently associated with Falconeer Technologies LLC, where he applies his expertise in process control and sensor technology. His dedication to improving system efficiencies has led him to pioneer innovative techniques that enhance monitoring and analysis in various industrial applications.
Collaborations
Throughout his career, Fickelscherer has collaborated with notable professionals, including Daniel L. Chester and Stephen L. Daniel. These partnerships have fostered a creative environment that encourages the development and implementation of cutting-edge technologies.
Conclusion
Richard J. Fickelscherer exemplifies the spirit of innovation through his significant contributions to process control systems. With his patented technology, he has made strides in real-time monitoring and predictive fault analysis, further demonstrating the importance of continuous improvement in industrial processes.