SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance

Data mining in predictive maintenance systems: A taxonomy and systematic review

“…Different kind of sensors are reported in last years in PdM for measuring vibration frequency (Bouabdallaoui et al, 2021; Chen et al, 2019; Cho et al, 2020; Liang et al, 2020; Oluwasegun & Jung, 2020; Orrù et al, 2020; Wang, Liu, et al, 2020; Zhou et al, 2019) or vibration acceleration alone (Aqueveque et al, 2021; Casoli et al, 2019; Malawade et al, 2021; Shamayleh et al, 2020; Yang et al, 2021) or in conjunction with relative position (Mishra & Huhtala, 2019). Other works use sensors that capture atmosphere‐based features like temperature (Axenie et al, 2020). But most of the works that use this type of data acquired from sensors combine several information like temperature, pressure and vibration, among others (Acernese et al, 2020; Cheng et al, 2020; Hsu et al, 2020; Khorsheed & Beyca, 2021; Orrù et al, 2020; Quatrini et al, 2020; Steurtewagen & Van den Poel, 2021; Yu et al, 2020).…”

“…In the context of vibration signal analysis, PCA has been applied to reduce the feature vector space in frequency domain (Casoli et al, 2019; Khorsheed & Beyca, 2021; Oliveira et al, 2020; Shamayleh et al, 2020), or in combination with partitional clustering to label the data according to clusters and then applying supervised learning (Oluwasegun & Jung, 2020). In Axenie et al (2020), several accumulate‐retract learning methods are used to accelerate PCA process achieving low‐latency high‐throughput processing of data streams in PdM. In Zhang, Liu, et al (2018), PCA is used in combination with a curve‐registration method of correlation maximization algorithm to address the problem of time‐lagged correlation for multiple sensors.…”

“…The interest in PdM has result in numerous research works in last decade, and specifically from 2018, that apply DM predictive techniques to different applications: motors (Aremu, Hyland‐Wood, & McAree, 2020; Pang et al, 2020; Wang, Zhang, et al, 2020), manufacturing plants (Axenie et al, 2020; Yu et al, 2020), medical equipment (Shamayleh et al, 2020), energy production plants (de Carvalho Chrysostomo et al, 2020; Gohel et al, 2020) or vehicle fleets (C. Chen et al, 2020; Oh & Lee, 2020) among others. However, there is not a direct application of DM to PdM.…”