CognIT (Norway)

We present an investigation of how topological data analysis (TDA) can be applied to condition-based monitoring (CBM) of wind turbines for energy generation.TDA is a branch of data analysis focusing on extracting mean- ingful information from complex datasets by analyzing their structure in state space and computing their underlying topo- logical features. By representing data in a high-dimensional state space, TDA enables the identification of patterns, anoma- lies, and trends in the data that may not be apparent through traditional signal processing methods. For this study, wind turbine data was acquired from a wind park in Norway via standard vibration sensors at different lo- cations of the turbine’s gearbox. Both the vibration acceler- ation data and its frequency spectra were recorded at infre- quent intervals for a few seconds at high frequency and fail- ure events were labelled as either gear-tooth or ball-bearing failures. The data processing and analysis are based on a pipeline where the time series data is first split into intervals and then transformed into multi-dimensional point clouds via a time-delay embedding. The shape of the point cloud is an- alyzed with topological methods such as persistent homol- ogy to generate topology-based key health indicators based on Betti numbers, information entropy and signal persistence. Such indicators are tested for CBM and diagnosis (fault de- tection) to identify faults in wind turbines and classify them accordingly. Topological indicators are shown to be an in- teresting alternative for failure identification and diagnosis of operational failures in wind turbines.

Women – so the stereotype goes – are not funny. Indeed, some evidence indicates that using humor in presentations may even be detrimental to women, hindering their perceived competence and status. Yet, given that women continue to be underrepresented in high status positions, less is known about whether humor can benefit high-status women under certain circumstances. We explored the use of humor in TED talks, in which speakers from a variety of domains are given a platform to share their expertise with a global audience – often using humor to get their message across. Challenging the gender stereotype, our analysis of 2,407 TED talks revealed that using humor increased influence, especially for female speakers. We investigated multiple indicators of influence, including number of views, how inspiring the talk was, and the perceived leadership qualities of the speaker. A deeper analysis of highly influential talks on social science topics (92 talks) revealed that the benefits of using humor stemmed from perceptions of speakers' warmth and competence but not from the type of humor used. These findings are consistent with research showing that women are rewarded when they violate agentic stereotypes related to competence. Our discovery underlines the power of humor as a means to extend one’s influence and deliver a successful presentation in the digital age, especially for women.

Today, one's disposes of large datasets composed of thousands of geographic objects. However, for many processes, which require the appraisal of an expert or much computational time, only a small part of these objects can be taken into account. In this context, robust sampling methods become necessary. In this paper, we propose a sampling method based on clustering techniques. Our method consists in dividing the objects in clusters, then in selecting in each cluster, the most representative objects. A case-study in the context of a process dedicated to knowledge revision for geographic data generalisation is presented. This case-study shows that our method allows to select relevant samples of objects.

This paper discusses a methodology and its enabling technology using mobile devices and process workflow roles to bring work relevant information directly to users’ fingertips. We present one complete solution for knowledge management in the process industry. The proposed solution is accessed from mobile devices and combines a state-of-the-art enterprise knowledge server with a multi-agent system. After a short introduction of the technologies as well as an architecture sketch, three different scenarios in an aluminium production setting are presented. The goal of the presented system is to contribute to knowledge sharing on all levels of the organization.

The localization of strain in the continental crust during compressional tectonics is examined using the active structures at the Nanga Parbat massif, an exhumed tract of Indian continental crust in the Pakistan Himalaya. This large‐scale (∼40 km wavelength) structure is considered to involve the whole crust. Thrusting at the modern surface places gneisses of the Indian continental crust onto Holocene deposits. At the Raikhot transect, the thrust zone carries a relatively narrow (2 km wide) shear zone within which minor structures are asymmetric and the deformation apparently noncoaxial. However, modeling of foliation and augen preferred orientation/ellipticity suggests that the bulk deformation is a combination of relatively small simple shear strains (γ = 1) with larger stretching strains. Heterogeneous stretching within the shear zone was accommodated by localized shearing on metabasic layers so that strain is partitioned. Outside this shear zone on the transect there is penetrative deformation throughout the Nanga Parbat massif. This broadly distributed deformation shows no asymmetry or evidence of rotation. Rather this deformation is better described as near pure‐shear subvertical stretching. Augen ellipticities suggest subvertical stretches of greater than 200%. Consideration of plausible changes in crustal thickness during the amplification of the Nanga Parbat structure suggests the magnitude of vertical stretch decays with depth. Presumably these strains in the deep crust are more distributed but weaker than in the exposed middle crustal sections, assuming conservation of horizontal shortening displacement with depth. These studies suggest that penetrative vertical stretching through dominantly pure shear deformation is an effective mechanism for thickening the continental crust and that models which assume that simple shear zones penetrate the whole crust need not be of ubiquitous applicability.