Bridges play a crucial role in transportation across water bodies, junctions, etc., minimizing the distance and traffic in a route. With ageing and continuous use, the bridges deteriorate and may even collapse if not monitored. With the gradual deterioration of its health, the dynamic properties alter with time. This damage-sensitive feature is therefore exploited by several techniques for damage quantification, and localization, which is in general categorized as vibration-based structural health monitoring (VBSHM). However, these features also change in an environment of varying temperature quite substantially that may mask the damage effect. This eventually entails inclusion of temperature information within the SHM procedure. This study undertakes Temperature-Based Structural Identification (TBSI) to locate and quantify structural faults in terms of fixity damage, material degradation, etc. Further, to dilute the effect of ambient noises and bias errors in the estimation procedure, Iterative Windowed Curve Fitting Method (IWCM) has been opted that supplies cleaner modal domain information for the TBSI to work. The investigation is undertaken simultaneously through numerical as well as real experimentation.