The major works for this research comprise of literature review, data collection, data preparation, quantitative analysis, time series prediction and case studies. A comprehensive literature review on the fields of reliability and construction equipment has been conducted. Quantitative analysis is used in this study including data collection, modelling and validation with the aid of computer software packages. Time series is the main method adopted for reliability analysis and failure prediction while traditional power law models are used as baseline for comparison. Case studies are employed to study the reliability of construction equipment with real maintenance data collected from construction site. The major findings of the research include: the investigation and analysis of the importance of reliability and failure prediction for construction equipment from the aspects of cost, time and safety; testing the traditional power law model and time series model on failure prediction for construction equipment based on real industry data; studying the construction equipment reliability and failure from both the systems and subsystems levels; taking related factors into consideration and evaluating the importance of these factors (e.g. impact from Time to Repair) in the modelling process of failure prediction; comparing the advantages and disadvantages of power law model and time series model. Based on the results and findings of the data modelling and analysis in this research, advice is given for managerial decisions on construction equipment maintenance to promote the practice of repair before failures.