Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management

Abstract

Maintenance is a critical component of Facilities Management (FM), and with the proliferation of big data, Internet of Things (IoT), and Industry 4.0, predictive maintenance (PdM) has emerged as a critical maintenance technique. However, modern data-driven PdM tactics are based on sensor data, but there is no obvious way to imply PdM on older buildings that lack sensors. EQUANS is a company seeking recommendations for implying PdM in the management of a historic building. This paper demonstrates the potential of survival analysis with data-driven PdM using EQUANS's non-sensored data, explicitly using the Kaplan-Meier method, parametric methods, Cox proportional hazard model, and accelerated failure time models. The boiler was chosen as the asset to focus on in this project, and the results indicated that the boiler's survival might not be related to the frequency of service but the boiler's age. The research findings propose a further step toward PdM for assets without sensors, and data collection and preventive maintenance can be improved.

Leveraging Classical Statistical Methods for Sustainable Maintenance in Automotive Assembly Equipment

“…Statistical process control (SPC) techniques have been employed to monitor equipment performance and identify anomalies that could lead to potential failures using physical or softwareaided charts and statistical control methods to detect deviations from normal operation, facilitating timely maintenance interventions [22,23]. Weibull analysis, survival analysis, and other reliability models have been used to assess equipment degradation over time and forecast impending failures [24][25][26][27]. Studies have investigated the modeling of failure data to uncover underlying failure mechanisms and patterns [28].…”

Diagnóstico de falhas de estator em motores de indução trifásicos via informação mútua e transformação de Clarke.

“…Condition-Based Maintenance -CBM) ou rentabilidade (em inglês Reliability-Centered Maintenance -RCM). Neste último cenário, a gestão tem como prioridade a redução de custos diretos e indiretos associados à manutenção, sendo amparado pelo monitoramento do equipamento por meio de sensores (HUO et al, 2005;MOAT;COLEMAN, 2021). Atualmente destacam-se os sistemas computadorizados de gestão da manutenção (em inglês Computerized Maintenance…”