An on-line condition monitoring and diagnosis system for feed rolls was developed for providing early warnings of malfunctions so as to avoid great losses resulting from unexpected shutdown of the production line. This system measures the bearing vibration signals on-line and judges the feed roll condition automatically according to the diagnosis rules stored in the computer. These rules were established based on results of long-term vibration measurements and proved by many real cases to be very effective and reliable. The derivation of these diagnosis rules and the development of the on-line monitoring and diagnosis system based on these rules are depicted in this article.
Non-destructive on-line and long-term monitoring of in situ nitrate and nitrite reactivity in a clay environment at increasing turbidity