Aging infrastructure is increasingly becoming a problem in industrialized countries. As a matter of fact, many existing bridges were already built in the mid-to-late twentieth century and hence are not in a good condition. A majority of these bridges were built from prestressed concrete and therefore may suffer from stress corrosion cracking of steel tendons. Due to their importance for structural integrity and hence structural safety, a reliable monitoring method of bridge tendons is of major interest. Recent research suggests the use of acoustic emissions (AE) using ultrasonic sensors to detect wire break events in civil engineering structures. In this work, accelerometers operating in the audible frequency range (<17 kHz) are used to record more than hundred wire breaks manually conducted at two old girders taken from a demolished bridge in Roding, Germany. Based on these experiments, approximately twelve days of continuous operational recordings conducted at a similar bridge construction in Hagen, Germany and additional wire breaks recorded at the bridge structure in Roding before demolition, we train and evaluate a support vector machine to detect wire break events in bridge tendons using low-level frequency domain features such as the spectral bandwidth. On the evaluation dataset, we achieve a recall score of more than 90% while having a FP-rate of approximately ten events per day. It should be noted that using low-frequency acoustic emissions we are able to detect wire break events in distances up to more than 20 m.