No abstract

Research related to warp breaks has been limited to monitoring break frequency and the reason associated with breaks in order to improve warp yarn quality. While this approach led to improvement in weaving efficiency, warp breaks still represent a major problem, especially for today's high-speed weaving machines. Researchers have been trying to develop commercial automated systems to repair warp breaks with no success. The goal of this study is to explore inexpensive methods to detect warp breaks using nontraditional technique that would pave the way to automate warp break repair. To achieve the goal, a system that can detect warp breaks using MEMS accelerometers as sensors was developed for Jacquard weaving. The MEMS accelerometers were mounted on harness cords of a Jacquard tie. MEMS output acceleration signals components in the vertical and horizontal directions were analysed using time and frequency domains. The signals were acquired while warp ends are running and at the moment of intentional breaks. The analysis led to a successful detection of warp breaks, especially using the horizontal acceleration component that is mainly due to harness cord vibration.

No abstract

Abstruct-This paper demonstrates the use of small area acoustic array technology as passive sonar for an autonomous mobile robot sound localization and direction control. Real-time target tracking is based solely on received audio signals.