Abstract: A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

Abstract: A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

Abstract: A method for performing bearing defect auto-detection provides an algorithm for processing condition monitoring data including vibration harmonics of at least one bearing coupled to a rotatable shaft, the bearing having an inner and an outer ring. The algorithm is used to confirm with high degree of confidence that a bearing defect is present or not.

Abstract: An electric rail system includes a current collector mounted for movement along at least one rail of the electric rail system and a monitoring system for detecting a condition indicative of a problem with the rail system or the current collector. The monitoring system includes a detector having one or more of: a camera configured to record images of a portion of the rail system in front of or behind the current collector, at least one vibration sensor on at least one slip contact of the current collector, an optical spark sensor configured to detect sparks in a contact region between the slip contact and the at least one rail, and at least one distance sensor configured to detect a distance between the at least one distance sensor and the at least one rail.