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Axle-box bearing is one of the key rotating parts in rail vehicles, which sustains load as well as reduce friction. Currently, the on-board method is based on temperature monitoring or vibration monitoring. Besides, the wayside method is based on acoustic monitoring. The vibration based method will be the main technique for condition monitoring of axle-box bearing, due to the abundant algorithm study and engineering application. This work integrates the cepstrum editing procedure and the envelope analysis to diagnose the axle-box bearing fault qualitatively. The effectiveness of the improved method to identify both the weak fault and the serious fault is tested on the rolling test rig.