
Abstract This paper gives a summary of methods that can be applied to automatic fault diagnosis. In the beginning, the focus is on classification and diagnostic reasoning using fuzzy logic. Subsequently, some of the ideas which have led to the emerging neuro-fuzzy algorithms are discussed. Finally, a new neuro-fuzzy algorithm which has recently been developed, is briefly described.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 114 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
