Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

The performance of sociotechnical elements varies owing to a wide range of endogenous
and exogenous influencing factors. These are called uncoupled variability as per Safety-II …

Abstract Machine Learning tools to enhance systems' resilience received an increased
impetus driven by energy transition, climate change and digitalization, but critical challenges …

Purpose With the intensification of market competition, there is a growing demand for weak
signal identification and evolutionary analysis for enterprise foresight. For decades, many …

Lithium-ion battery energy storage system (BESS) has rapidly developed and widely applied
due to its high energy density and high flexibility. However, the frequent occurrence of fire …

The current work presents a Dynamic Domino Effect Assessment (D2EA) methodology for
chemical storage tank farms. While the application of the proposed approach is focused on …

Fire is one of the most common hazards in the process industry. Until today, most fire alarms
have had very limited functionality. Normally, only a simple alarm is triggered without any …

With rising concerns about the amount of pollutant emissions generated by shipping and the
consequent pressure to curb the environmental impact of shipping activities, fuel cells are …

A set of recommendations is one of the most valuable outputs of the hazard and operability
(HAZOP) study. The HAZOP study team provides recommendations when deficiencies are …

New product development process is complex, involving many decisions that are based on
incomplete and unrepresentative weak signal information. In this case, cognitive bias will …