TMTDS

Timely and cost-efficient maintenance through data-intensive mathematical and computational algorithms for asset management and fault prediction

[TMTDS @CTMTDS]

Yingying Yang presents - Long-term Integrated Maintenance Scheduling Optimisation at the next ARC Transforming Maintenance through Data Science researchers catch-up in November- for more details see https://t.co/vkxT6sN4Z6

[TMTDS @CTMTDS]

Dr Michael Stewart presents 'Large Language Models for Failure Mode Classification'. He demo's an engineering approach that enables fine-tuning an LLM to predict nominal failure mode codes from given observations //www.maintenance.org.au/pages/viewpage.action?pageId=113508433

[TMTDS @CTMTDS]

Check out the CTMTDS Newsletter for August 2023 - https://t.co/MrNyZrrkgL

[TMTDS @CTMTDS]

It is great to see Michael Small and Braden Thorne discussing predictive maintenance with researchers from Toyota Research Centre while participating in ICIAM 2023 Tokyo – The 10th ICIAM in Tokyo, Japan, 20-25 Aug. 2023.

[TMTDS @CTMTDS]

Dr Shuixiu Lu presents - Nonlinear time series analysis of industrial data with uncertainty - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/J6EGoyFNy4

[TMTDS @CTMTDS]

Tim Pesch presents - Estimation and Testing with Extended Sequential Order Statistics -18 August -Transforming Maintenance through Data Science https://t.co/HG8T2iu1Fv

[TMTDS @CTMTDS]

Ryan Leadbetter presents - Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions at our Researchers Catch up Friday 16 June. https://t.co/Ask8QOlic6

[TMTDS @CTMTDS]

Register now for a workshop on Technical Language Processing & Knowledge Graphs Demystified - World Mining Congress facilitated by A/Prof Wei Liu, Prof Melinda Hodkiewicz & Dr Sirui Li https://t.co/jETr7wrTOR

[TMTDS @CTMTDS]

CTMTDS - First Newsletter for 2023.
The new year began with the arrival of two new post-doctoral researchers to the Centre and a team that won a prize in the Iron Ore Circuit Hackathon. What a great start to 2023.
https://t.co/PdpmPNCTUY

[TMTDS @CTMTDS]

Dr Eden Li presents - Unlocking the Potential of Data Science: Developing an Assessment Tool for Organisational Capability Friday 19 May at 1.30pm AWST https://t.co/M6lWcVi05r

[TMTDS @CTMTDS]

Dr Sirui Li presents - Question Answering over Temporal Knowledge Graphs on 19 June 1pm AWST https://t.co/Fx3sNqQPkX

[TMTDS @CTMTDS]

Most innovative improvement - Iron Ore Circuit Hackathon - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/ntv9oZZzbJ

[TMTDS @CTMTDS]

Ziyu Zhao presents - Questioning your maintenance data and get accurate answers - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/XbUC10N6zu

[TMTDS @CTMTDS]

Mojtaba Heydar presents - Resource planning and optimisation for maintenance scheduling - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/BkL0rj0z7i

[TMTDS @CTMTDS]

Modelling Deterministic Dynamics from Data by Professor Michael Small! - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/mJQ4LAgbfb

[TMTDS @CTMTDS]

Reliability Inference with Extended Sequential Order Statistics' & 'Conveyor Belt Wear Forecasting - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/XXzozfoUAT

[TMTDS @CTMTDS]

A Practical Guide to Knowledge Graph Construction from Technical Short Text - Tutorial at AJCAI 2022 - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/V96D6Z5SrN

[TMTDS @CTMTDS]

Michael Stewart presents - QUARRY: A Graph Model for Queryable Association Rules - LATEST NEWS - Transforming Maintenance through Data Science https://t.co/eG66x2dzJy

[TMTDS @CTMTDS]

Aloke Phatak is speaking at #WAMining Conference & Exhibition. Hope to see you there from 12 to 13 October at Perth Convention & Exhibition Centre! Book your ticket today. https://t.co/ANHzFZNZjr

[TMTDS @CTMTDS]

CTMTDS Newsletter Issue 13, July 2022 - CTMTDS Newsletter - Transforming Maintenance through Data Science https://t.co/YYOHj9Bdbk