A resurgent interest in time waveform analysis techniques has been observed within the condition monitoring domain. This renewed focus arises from a growing appreciation of the inherent limitations associated with the Fast Fourier Transform (FFT) process. While FFT analysis remains a cornerstone of condition monitoring, time waveform analysis offers valuable insights, but its practical implementation can be challenging, often leading to its underutilization. This paper seeks to bridge this knowledge gap by concentrating on two key areas: 1. Critical Evaluation of FFT Analysis: Exploring the inherent limitations of the FFT method and identifying specific applications where its efficacy can be demonstrably improved through the integration of time waveform analysis. 2. Practical Implementation Strategies for Time Waveform Analysis: This section will provide a comprehensive guide for condition monitoring personnel and encompass the manipulation of time waveform data. Furthermore, it will delve into the interpretation of this data, including the analysis of time–frequency relationships, waveform symmetry, and the development of pattern recognition skills for the efficient identification of common faults. By fostering a deeper understanding of when to strategically leverage time waveform analysis in conjunction with FFT, this paper aims to contribute to the advancement of a more holistic and effective condition monitoring methodology.