Chemicals
Aggressive fluids, multiple damage mechanisms on a single item, and loss-of-containment consequences that dominate the risk analysis.
Articles in the chemicals sector
AI and maintenance
AI agents in industry: what they do, what to fence
Copilot or agent: what agentic AI already does on the factory floor, what to automate, and the guardrails to set before you start.
Engineering and projects
AI in the engineering office: speed without delegating the decision
AI in the engineering office speeds up search, drafting and compliance review. What it really proposes, and what the engineer keeps in hand.
Engineering and projects
AI in industrial production: where it really helps, where it over-promises
Where AI really helps in production: scheduling, process tuning, OEE, energy. Where it over-promises. The real prerequisite: data quality.
Quality and compliance
AI and industrial quality: what it flags, what the human decides
AI in industrial quality surfaces defects, sorts nonconformities and finds recurring causes. What it flags, what the human decides.
The field toolbox
- Corrosion ratemm/yr
- MTBF · MTTR · uptimereliability
- Thickness logtrend
- Inspection intervaldue date
- Report templateCMMS
- Unit convertermm · psi
- Lost hoursROI
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Open the tools
Quality and compliance
Detecting biofilms and bacteria: my UV 365 nm and AI hypothesis
UV-A fluorescence at 365 nm reveals organic residues, not bacteria. What it shows, its false positives, what AI can read in it.
Asset integrity
Types of industrial corrosion: how to recognise and treat them
Uniform, pitting, galvanic, crevice, SCC, CUI, MIC: recognise each corrosion mechanism by its morphology to choose the right treatment.
Maintenance strategy
FMEA: the full method, from scoring to a worked example
FMEA step by step: the 3 types, Severity, Occurrence and Detection scoring, the RPN calculation and a worked example, with its honest limits.
Asset integrity
Periodic requalification of pressure equipment: what the rules require
What the PED and national in-service regimes require for pressure equipment requalification, and the operating file that decides the outcome.
AI and maintenance
RAG in industry: answering from YOUR documents, not the web
RAG makes AI answer from your documents, not the web. Its principle, where it breaks (retrieval) and the governance that holds it together.
AI and maintenance
Generative AI in industry: the use cases that actually work
Which generative-AI use cases really deliver in industry in 2026, which are over-hyped, and how to pick the first one to run.
Asset integrity
Non-destructive testing (NDT): which method for which defect?
Penetrant, magnetic particle, eddy current, ultrasonic, radiography: which NDT method for which defect, material and access.
Asset integrity
The 5 Best Industrial Asset Integrity Software
An honest comparison of 5 industrial asset integrity software tools: what each really does, its strength, its limit, and which one to choose.
Software and data
The 10 Best Software for Industry 4.0
MES, IIoT, digital twin, CMMS, vision, ERP, historian, AI: ten Industry 4.0 software compared, each with its strength, limit and best use case.
AI and maintenance
How to choose a profitable AI project among several ideas
How to select and prioritise the most profitable AI project in a plant: the sorting criteria, a scoring grid, and the traps that turn a pilot into a money pit.
Software and data
CMMS, EAM, IDMS and AIMS: what are the differences?
CMMS, EAM, IDMS, AIMS: clear definitions, what each software category covers, what it does not do, and how they coexist in an industrial plant.
Software and data
Industrial AI: What It Really Is, and What It Changes on the Plant Floor
Industrial AI without the jargon: use cases by function and by sector, limits, costs, financing and a roadmap to get started in your plant.
Industrial inspection
AI in non-destructive testing: what AI adds to NDT
What artificial intelligence really adds to non-destructive testing: assisted defect detection on images, structured results, trending, and its honest limits.
Software and data
Should you build your AI, buy it, or repurpose a consumer tool?
Build, buy or repurpose a consumer tool: the three routes to AI on the factory floor, the criteria that actually decide, and where to start.
Software and data
Spreadsheet or dedicated software to track inspections?
Is a spreadsheet enough to track industrial inspections? When Excel is genuinely fine, the five points where it breaks, and how to migrate without a big-bang.
Safety and environment
AI and workplace safety: spotting risk without surveilling people
AI can genuinely help workplace safety, if it reads the signals you already ignore instead of filming your teams. Where the line sits, legally and humanly.
Engineering and projects
Digital twins in industry: what they really deliver, and what they cost
A digital twin is not a 3D model. What it really delivers in industry, the role of the AI that exploits it, and the true cost before you commit.
AI and maintenance
AI data leaks: the risk comes from your people and your contractors
Data leaks through AI do not come from the AI itself but from the people and third parties who use it: shadow AI, contractors and what the AI Act now requires.
Quality and compliance
Quantifying what poor quality really costs you, to defend a budget
Scrap, rework, returns and complaints, scattered and never added up. How to aggregate the real cost of poor quality with AI to defend a budget.
AI and maintenance
The real risks of AI in industry, and why local deployment reduces them
The real risks of AI in industry: data leaks, invisible errors, vendor lock-in, security. Most come down to one thing, keeping control of your data.
AI and maintenance
Why responsible industrial AI is local, bespoke and off the cloud
Responsible AI in industry is not a label but an architecture: protecting sensitive data calls for bespoke, on-premise tools that stay off the cloud.
AI and maintenance
Local AI off the cloud: deploying an LLM or LMM on site
Why deploy AI on-premise rather than in the cloud: what an LLM or LMM does on an industrial site, the tasks it automates and the real constraints.
Skills and transformation
Learning AI for your industrial role, on your own and without a company budget
How an industry professional can learn AI for their own role, without a company budget: where to start, what to avoid, and how to prove it.
Skills and transformation
Change management for an industrial AI project: what really kills adoption
Why a technically successful AI tool still goes unused, and what actually changes that: the unspoken fear, the local referent, and proof drawn from real work.
Industrial inspection
How to calculate a corrosion rate: formula, unit and pitfalls
The corrosion rate formula from dated thickness readings, the unit to use, and the difference between short-term and long-term rates explained.
AI and maintenance
Making the case for an AI maintenance project to your board
How to cost an AI maintenance project so it survives the boardroom: what you measure, what you own as an assumption, and what you must never promise.
AI and maintenance
Can AI Replace the Inspector? The Line Between Preparing and Deciding
What AI can genuinely do with inspection and maintenance data, what it must never decide on its own, and why the sign-off stays human.
AI and maintenance
Delivering a first AI project in maintenance: a 90-day roadmap
How to run a first AI project in industrial maintenance without spreading yourself thin: the scope to pick, the first 90 days, and the traps that sink it.
Industrial inspection
Equipment inspection intervals: what regulation fixes, and what it leaves to you
What the rules really impose as inspection intervals, how an interval is calculated, and the risks no wall thickness measurement will ever see.
Software and data
OCR or AI for reading your technical documents: three things people confuse before they buy
OCR, extraction, AI: three notions people confuse before buying. What each one really does to a technical report, and which one costs you.
Software and data
How to choose a CMMS: the method, the traps, and the spreadsheet nobody dares abandon
What a CMMS does and does not do, how to choose one without regret, when a spreadsheet still does the job, and where AI genuinely changes things.
Maintenance strategy
Industrial equipment criticality: building a matrix that earns its keep
How to rate severity and probability on a real plant, and why the probability axis is what makes most criticality matrices fail within two years.
Maintenance strategy
Preventive maintenance plan: building it from real risk
How to build a preventive maintenance plan from equipment criticality and real condition, instead of inherited intervals that no one questions any more.
Asset integrity
Turning a PDF Inspection Report Into Data: What Works, What Resists
What you can genuinely extract from a PDF inspection report, what resists, and how to judge a tool's accuracy before you buy it.
Asset integrity
Tracking the condition of your industrial equipment: asset integrity management
What an equipment integrity record actually contains, how it differs from a CMMS, and where to begin when everything still lives inside PDFs.
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