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Friction-related failures are a frequent cause of catastrophic damage in mechanical systems, resulting in significant repair expenses and/or production delays in industry worldwide. Scuffing is one of the most concerning friction-related failures mechanisms. It is characterized by an abrupt failure mechanism, which makes its prediction unresolved today. Therefore, any in situ and real-time monitoring system of such failures is of great demand and this contribution is supplement to and enrichment of existing studies on this topic. We propose a probabilistic analysis of acoustic signals synchronously recorded with the coefficient of friction during real-life experiments. They, simulate a specific industrial operating condition of a cam, cylinder pairs and gear teeth. The experimental conditions are a reciprocating movement of a stainless steel cylinder (counter-body) against a grey cast iron body. The counter-body was under a …