English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Inside wall of blast furnace is frequently defected by its high pressure and temperature process and solid bodies like iron ore and cokes. For the safety and efficient operation of blast furnace, state-based detection of the defect of the inside wall is of great importance. One of the authors previously proposed a detection system which used ultrasonic sensors to measure the thickness of the inside wall. The system enabled the measurement of the wall-thickness even when many reflected waves from the inside of the wall were complicatedly superposed on the sensor under a time-variant bias. Although the system proposed a raw concept of time map of received reflected-waves, the detection method still depended somewhat on an empirical knowledge of the time map for a furnace-type steeve (used for the experiment) to measure the wall thickness of the actual blast-furnace. The present paper thus derives the time map for the received reflected-waves strictly, and proposes the wall thickness measurement by comparison between the theoretically and experimentally derived time maps. Finally, the effectiveness of the proposed system is verified with experiments on a furnace-type steeve and an actual blast furnace.

Fault Diagnosis of Inside Wall of Blast Furnace Based on Time Map of Received Reflected-Waves Using Ultrasonic Sensors