Ghent University’s Nuclear Fusion Research unit has developed a Bayesian probability-based method for integrated data analysis (IDA) of fusion diagnostics. This approach combines heterogeneous diagnostics, enabling the extraction of validated physical results. The university’s expertise in Bayesian probability enhances trustable sensor fusion and similarity measurement between probability distributions.  These techniques find applications in predictive maintenance and sensor fusion across industries such as finance, heavy machinery, marine infrastructure, and space satellites.