Industrial automation

10 predictive maintenance program experts

These ten professionals have held predictive maintenance, reliability and condition monitoring roles at manufacturers, energy companies and utilities. A reader can learn from them how plants set up predictive maintenance programs, which monitoring methods they rely on and how findings feed into maintenance decisions.

10 professionals9 companiesData retrieved September 28, 2026

Professionals to explore

01—10
  1. Alexander Walzenbach

    LinkedIn

    Experience: Senior Asset Monitoring Manager - Predictive Maintenance & Reliabilty Center · BASF

    Former Senior Asset Monitoring Manager - Predictive Maintenance & Reliabilty Center at BASF (2018–2026); he has been Senior Manager - Asset Monitoring Reliabilty Center & Advanced Mobile Robotics at BASF since January 2026. His profile lists predictive maintenance, vibration field services, prescriptive analytics, asset and process performance monitoring and digital twins among his areas of work.

  2. Ed Allard

    LinkedIn

    Experience: Predictive Maintenance and Reliability Manager · Bunge North America, Inc.

    Former Predictive Maintenance and Reliability Manager at Bunge North America, Inc. (2015–2025), a role on the corporate reliability team set up to promote reliability excellence at the company's food processing plants. He was also Senior Field Support Engineering Analyst (2006–2013) and Senior Consulting Engineer (2001–2006) at Rockwell Automation.

  3. Edison Chukwuebuka Ibeh (MNSE, MIAENG)

    LinkedIn

    Experience: Utility & Predictive Maintenance Manager · The FMN Group

    Utility & Predictive Maintenance Manager at The FMN Group since April 2026, and Assistant Manager Predictive Maintenance there from 2024 to 2026. He was also Sugar Dust Control Engineer at The FMN Group (2023–2024), and his profile describes him as a predictive maintenance engineer who uses data-driven approaches to solve maintenance challenges.

  4. Hossein V. Farahani

    LinkedIn

    Experience: Predictive Maintenance Engineer · Shell

    Predictive Maintenance Engineer at Shell since June 2025; his profile headline places the role at Shell Scotford. He was Predictive Maintenance Supervisor at St Marys Cement (2022–2023) and Lead Machinery Diagnostic Engineer at Bently Nevada, a Baker Hughes business (2023–2025), and his profile describes work in vibration fault diagnosis, integrated condition monitoring and reliability engineering.

  5. Karina Santos

    LinkedIn

    Experience: Spare Parts and Predictive maintenance Chief · Skretting Ecuador

    Spare Parts and Predictive maintenance Chief at Skretting Ecuador since December 2024, and Predictive Maintenance Technical Supervisor there from 2023 to 2024. Her profile describes maintenance and reliability work in food and industrial manufacturing, including asset management, predictive maintenance, lubrication engineering and energy efficiency (ISO 50001).

  6. Krishna Chaudhary

    LinkedIn

    Experience: Engineer-Predictive Maintenance · Shell

    Engineer-Predictive Maintenance at Shell since October 2023, covering predictive maintenance of critical rotating equipment, failure mode analysis, failure detection, troubleshooting and RCA, and the deployment of AI-based models and algorithms for predictive maintenance. He was Project Engineer (2019–2023) and Mechanical Maintenance Engineer (2018–2019) at HPCL-Mittal Energy Limited.

  7. Neeraj Pandey

    LinkedIn

    Experience: Senior Engineer, Technical and Engineering Services, Research · ADNOC Group

    Senior Engineer, Technical and Engineering Services, Research at ADNOC Group since October 2020, where his profile says he has been part of one of the largest predictive maintenance projects in the oil and gas industry. He was Reliability Engineer at ADNOC Group (2013–2020), and his profile cites experience implementing CPAD and Neuron 5, an AI tool for oil and gas equipment predictive analytics.

  8. Steven Heuer

    LinkedIn

    Experience: North American Maintenance Shop Director · General Motors

    North American Maintenance Shop Director at General Motors since January 2026, leading maintenance engineering strategy and skilled workforce planning for General Motors' North American manufacturing network of 20+ assembly, stamping and powertrain plants. His profile headline cites AI-driven workforce and predictive maintenance strategy.

  9. Tarek Benattous

    LinkedIn

    Experience: Head of Control & Testing Condition Monitoring Asset Integrity Predictive Maintenance (PdM) · SPE (SONELGAZ Algerian Power Company)

    Head of Control & Testing Condition Monitoring Asset Integrity Predictive Maintenance (PdM) at SPE (SONELGAZ Algerian Power Company) since August 2025, leading the Control & Testing department team. His other SPE roles include Machinery diagnostics engineer (2021–2025) and Control studies engineer (2015–2025), and his profile cites work in power plant reliability and machinery diagnostics.

  10. Vijay Kishore Rachakonda

    LinkedIn

    Experience: Manager Predictive Analyst, Operations Excellence · Linde

    Former Manager Predictive Analyst, Operations Excellence at Linde (2020–2023); he has been Vibration, Lube Oil, Thermography Analyst at National Petrochemical Industrial Company since March 2023. His profile describes responsibility for a predictive program and condition monitoring administration for rotating equipment such as compressors, turbines, blowers, pumps, gearboxes and motors, including review of vibration data and lube oil results.

Choose the right perspective

Match the person's industry and equipment, such as rotating machinery in refineries, food processing lines or power plants, to your own assets. Also consider whether you need someone who set program strategy across many sites or an engineer who ran monitoring and diagnostics day to day.

Questions to take into the conversation

  1. 01How did you decide which assets to put on predictive monitoring first, and which techniques to use for each?
  2. 02How do you turn vibration, oil and thermography findings into work orders that maintenance teams act on?
  3. 03What results did you use to show the program was paying off, such as avoided failures or less unplanned downtime?

About this directory

This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.

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