Skip to content
Aperlena
Language:

Condition Based Monitoring - ESA Devices

Awarded Contract award No deadline published
Watch this tender

Bidding is closed. An award or a correction on this notice: an email when the register sees it. Log in

  1. Published
  2. Awarded pending

Summary

Machine-generated summary

Yorkshire Water Services Limited sought a fully integrated Electrical Signature Analysis platform and managed predictive maintenance service for its motor-driven assets. The solution provides continuous monitoring of three-phase voltage and current signatures through hardware in motor control centres, without sensors mounted on assets, and uses artificial intelligence, machine learning and expert analyst validation to detect faults such as blockages, airlocks, burst rising mains and cavitation, with early warnings and recommended corrective actions. The official record shows the contract has been awarded. No winning supplier, contract value, number of bids, duration or return-to-market date is given in the source material.

Description

YW seek a fully integrated Electrical Signature Analysis (ESA) platform and managed predictive maintenance service to improve operational resilience, asset reliability, energy efficiency and environmental performance across its motor-driven asset base. The management of rotating assets through reactive maintenance, periodic inspections or disconnected monitoring systems can result in reduced visibility of asset condition, increased risk of unplanned failures, higher maintenance costs and avoidable operational and environmental impacts. A unified monitoring solution is required to provide continuous condition assessment, actionable intelligence and estate-wide visibility from a single platform. The solution must deliver all of the following capabilities within a single, integrated platform and managed service: Electrical Signature Analysis (ESA) -Continuous monitoring of three-phase voltage and current signatures from motor-driven rotating assets through hardware installed within motor control centres (MCCs), without the need for sensors mounted directly on assets. The solution shall collect and analyse electrical data continuously to identify developing faults and operational issues. Predictive Maintenance Analytics- A combination of artificial intelligence, machine learning and expert analyst validation capable of identifying developing faults before failure occurs. The solution shall provide early warning notifications together with fault diagnosis, operational impact assessment and recommended corrective actions. The platform shall detect operational asset and network events including: - Blockages, clogging and ragging: A shift in the pump's electrical load caused by restricted or abnormal flow - Airlocks: A characteristic load-signature change when trapped air disrupts normal flow - Burst rising mains: Loss of system pressure and altered flow following a burst, seen as a change in the pump's load signature - Cavitation: The load signature characteristic of a pump operating in cavitation - Dry running and loss of prime: An abnormally low load condition characteristic of dry running - Off-curve or inefficient operation: Operation sitting away from the pump's best-efficiency point - Excess energy consumption: Elevated true power for the duty delivered The solution should provide real-time or near-real-time identification of these events to enable proactive intervention and reduce operational risk. The platform shall be supported by a human-in-the-loop managed service where findings are reviewed and validated by qualified condition monitoring specialists prior to notification. The service shall provide: - Continuous asset monitoring - Expert validation of findings - Recommended corrective actions - Performance reporting - Ongoing technical support The managed service shall operate on a 24/7 basis The platform must be fully developed and commercially available. For clarity this means the product is not in early-stage development, not unproven, and not awaiting first deployment or first operational results. The solution must have already demonstrated successful outcomes with other water companies, preferably within the UK and particularly with other WASCs. The platform must be capable of integrating with core utility systems (e.g., SCADA, telemetry, SAP, GIS) and must meet minimum interoperability requirements to interpret data from devices and sensors currently deployed in our network

Official source

Source: Find a Tender Service (UK Cabinet Office / Crown Commercial Service)

Always verify details on the official notice.

Last verified against Find a Tender Service (UK Cabinet Office / Crown Commercial Service) 2 weeks ago

Documents on Find a Tender Service (UK Cabinet Office / Crown Commercial Service) (English)

View the official notice

More from this buyer

Full buyer profile

6 open tenders right now

Recent awards

Similar tenders

Market context

Buyer track record on Aperlena
25 notices tracked · 10 awarded

Never miss a tender like this

6,880 new notices in all sectors in United Kingdom in the last 7 days. Get an email when new ones appear. Free.

Set up my alert
Source

Keyboard shortcuts

Read a list without reaching for the mouse. The shortcuts stay quiet while you type in a field.

j
Next result
k
Previous result
Enter
Open the result
n
Next page
p
Previous page
c
Compare this result
s
Shortlist this result
/
Jump to the search box
?
Show these shortcuts
Esc
Close