This article addresses the issue of reducing carbon footprint in construction production. It focuses on the sources and factors of greenhouse gas emissions responsible for climate change. The construction sector plays a significant role in generating carbon footprint, both in the manufacturing of construction products within supply chains and during the execution of construction work on-site. The identified factors that influence carbon footprint throughout the lifecycle of a construction project and the life of a building are examined and analysed using the DEMATEL method. The research aims to identify causal relationships among factors that contribute to minimising carbon footprint in construction projects. The factors with the highest causal impact are identified in each phase of the building’s lifecycle, including Building Information Modelling (BIM), appropriate selection of construction products, and regulatory and financial incentives. The results of the analysis can be utilised to support decision-making processes aimed at reducing harmful emissions during project realisation and building operation.

In rotating machineries, misalignment is considered as the second most major cause of failure after unbalance. In this article, model-based multiple fault identification technique is presented to estimate speed-dependent coupling misalignment and bearing dynamic parameters in addition with speed independent residual unbalances. For brevity in analysis, a simple coupled rotor bearing system is considered and analytical approach is used to develop the identification algorithm. Equations of motion ingeneralized co-ordinates are derived with the help of Lagrange’s equation and least squares fitting approach is used to estimate the speed-dependent fault parameters. Present identification algorithm requires independent sets of forced response data which are generated with the help of different sets of trial unbalances. To avoid/suppress the ill-conditioning of regression equation, independent sets of forced response data are obtained by rotating the rotor in clock-wise and counter clock-wise directions, alternatively. Robustness of algorithm is checked for different levels of measurement noise.