Proposed a novel approach to detect changes in the product quality of process systems by using negative selection algorithms inspired by the natural immune system.The most important input variables of the process system was represented by artificial immune cells, from which product quality was inferred, instead of directly using the product quality which was hard to measure online, e.g. the ash content of coal flotation concentrate. The experiment was presented and then the result was analyzed.