Patents by Inventor Peter S. Chang

Peter S. Chang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • HEAD MOUNTABLE DISPLAY
    Publication number: 20240388687
    Abstract: A head-mountable display device includes a housing defining a front opening and a rear opening, a display screen disposed in the front opening, a display assembly disposed in the rear opening, a first securement strap coupled to the housing, the first securement strap including a first electronic component, a second securement strap coupled to the housing, the second securement strap including a second electronic component, and a securement band extending between and coupled to the first securement strap and the second securement strap.
    Type: Application
    Filed: May 13, 2024
    Publication date: November 21, 2024
    Inventors: Michael J. Rockwell, Geoffrey Stahl, Thibaut Weise, Peter Kaufmann, Branko Petljanski, Jason L. Slupeiks, Tom Sengelaub, Kathrin Berkner Cieslicki, Yanghai Tsin, Hesam Najafi, Arthur Y. Zhang, Amanda R. Rainer, Cheng Chen, Graham B. Myhre, Fletcher R. Rothkopf, Marinus Meursing, Phil M. Hobson, Jason C. Sauers, Jan K. Quijalvo, Jia Tao, Ivan S. Maric, Jeremy C. Franklin, Wey-Jiun Lin, William A. Sorrentino, III, Jonathan Ive, Alan C. Dye, Stephen O. Lemay, Seung Wook Kim, Ray L. Chang
  • Artificial neural network and fuzzy logic based boiler tube leak detection systems
    Patent number: 6567795
    Abstract: Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior.
    Type: Grant
    Filed: December 1, 2000
    Date of Patent: May 20, 2003
    Assignees: Tennessee Technological University, Tennessee Valley Authority
    Inventors: Ali T. Alouani, Peter S. Chang
  • Artificial neural network and fuzzy logic based boiler tube leak detection systems
    Publication number: 20010001149
    Abstract: Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior.
    Type: Application
    Filed: December 1, 2000
    Publication date: May 10, 2001
    Inventors: Ali T. Alouani, Peter S. Chang