Calories & Activity · Power trace analysis

Normalised Power Analyzer

Analyse a uniform cycling power trace with a 30-second rolling fourth-power calculation, average watts and variability ratio.

MODEL WORKSPACE

Power trace analysis workspace

Uniform recording samples; at least ten minutes

Uniform power samples (W, max 1200) Paste 60–1200 samples, separated by commas. Zeros must remain in the data; gaps cannot be reconstructed.

Sample interval (seconds)

Example values are shown. Change them to calculate your result.

YOUR RESULT

Your power trace report

200 W · normalised estimate

Complete 30-second windows; first partial window excluded

Average power200 W

Variability ratio1

Recorded duration10 min

Samples120

Complete rolling windows115

Full result table

Calculated from the current values, with rounded display.
Sample	Elapsed seconds	Raw W	Full-window mean W
1	5	200	Incomplete
2	10	200	Incomplete
3	15	200	Incomplete
4	20	200	Incomplete
5	25	200	Incomplete
6	30	200	200
7	35	200	200
8	40	200	200
9	45	200	200
10	50	200	200
11	55	200	200
12	60	200	200
13	65	200	200
14	70	200	200
15	75	200	200
16	80	200	200
17	85	200	200
18	90	200	200
19	95	200	200
20	100	200	200
21	105	200	200
22	110	200	200
23	115	200	200
24	120	200	200
25	125	200	200
26	130	200	200
27	135	200	200
28	140	200	200
29	145	200	200
30	150	200	200
31	155	200	200
32	160	200	200
33	165	200	200
34	170	200	200
35	175	200	200
36	180	200	200
37	185	200	200
38	190	200	200
39	195	200	200
40	200	200	200
41	205	200	200
42	210	200	200
43	215	200	200
44	220	200	200
45	225	200	200
46	230	200	200
47	235	200	200
48	240	200	200
49	245	200	200
50	250	200	200
51	255	200	200
52	260	200	200
53	265	200	200
54	270	200	200
55	275	200	200
56	280	200	200
57	285	200	200
58	290	200	200
59	295	200	200
60	300	200	200
61	305	200	200
62	310	200	200
63	315	200	200
64	320	200	200
65	325	200	200
66	330	200	200
67	335	200	200
68	340	200	200
69	345	200	200
70	350	200	200
71	355	200	200
72	360	200	200
73	365	200	200
74	370	200	200
75	375	200	200
76	380	200	200
77	385	200	200
78	390	200	200
79	395	200	200
80	400	200	200
81	405	200	200
82	410	200	200
83	415	200	200
84	420	200	200
85	425	200	200
86	430	200	200
87	435	200	200
88	440	200	200
89	445	200	200
90	450	200	200
91	455	200	200
92	460	200	200
93	465	200	200
94	470	200	200
95	475	200	200
96	480	200	200
97	485	200	200
98	490	200	200
99	495	200	200
100	500	200	200
101	505	200	200
102	510	200	200
103	515	200	200
104	520	200	200
105	525	200	200
106	530	200	200
107	535	200	200
108	540	200	200
109	545	200	200
110	550	200	200
111	555	200	200
112	560	200	200
113	565	200	200
114	570	200	200
115	575	200	200
116	580	200	200
117	585	200	200
118	590	200	200
119	595	200	200
120	600	200	200

Independent NP-style implementation, not an exact device-replication guarantee. Uniform samples, retained zeros and at least 10 minutes are required. The first incomplete window is excluded; devices may use different initialisation or gap handling. NP is a TrainingPeaks metric; no affiliation is implied.

HEALTHWAVY AI

Let’s work it out.

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GET STARTED

How to use Normalised Power Analyzer

Paste consecutive watts at the selected fixed sample interval.
Each rolling value represents a full trailing 30-second window.
At least ten minutes are required here to reduce the influence of the initial window.

Worked example

A uniform ten-minute trace of 200 W has average power 200 W, normalised estimate 200 W and variability ratio 1.0.

Formula, accuracy & limitations

At each complete 30-second window, calculate mean power, raise that mean to the fourth power, average those fourth powers, then take the fourth root. Average power includes all samples. Variability ratio = modelled normalised power / average power.

These outputs use the stated model and your supplied inputs. A mathematically consistent model can still differ from personal measurements. Scenario curves and formula comparisons are not statistical confidence intervals.

Source and method context ↗

Prepare a uniform power trace

Paste consecutive watts at the selected fixed sample interval. Keep coasting zeros and include every interval. A list that omits recording gaps or mixes one-second and five-second samples does not represent a uniform time series, and the calculator cannot recover timestamps from watts alone.

Understand the complete-window convention

Each rolling value represents a full trailing 30-second window. Initial incomplete windows are excluded instead of being zero-padded. The fourth-power operation gives variable high-output periods more influence than ordinary averaging. The raw trace and rolling trace are plotted separately with their units clearly marked.

Compare implementation details before device totals

At least ten minutes are required here to reduce the influence of the initial window. A device can still show a slightly different number because of gaps, smoothing or recording conventions. This worksheet is transparent about its method and does not claim to reproduce every commercial implementation.

Understand why the displayed trace is sampled

Every supplied watt value contributes to ordinary average power, and every complete trailing window contributes to the fourth-power estimate. The chart and table may show fewer points to keep the page readable on a phone. That display reduction does not mean peaks or zeros were removed from the calculation. A raw watt sample represents the end of its recording interval here, while a rolling mean is placed at the end of its complete 30-second window. Compare those time conventions before checking a device trace.

QUICK ANSWERS

Frequently asked questions

Why are zero-watt samples important?

Zeros represent elapsed coasting or stopped time when they belong to the recording. Dropping them changes duration, average power and rolling-window behaviour.

Can I paste irregular timestamped data?

This interface accepts a uniform list of watts only. Resample timestamped data with an appropriate method before using it.

Why is a short trace rejected?

The tool requires at least ten minutes. A 30-second window occupies a large fraction of a short trace and can make the metric hard to interpret.

Does the variability ratio measure fitness?

It compares this trace’s normalised estimate with its average. It is not a fitness percentile, a recovery score or proof of training quality.

HealthWavy Smart Health Tools for Everyday Wellness

Normalised Power Analyzer

Power trace analysis workspace

Your power trace report

200 W · normalised estimate

Let’s work it out.

How to use Normalised Power Analyzer

Worked example

Formula, accuracy & limitations

Prepare a uniform power trace

Understand the complete-window convention

Compare implementation details before device totals

Understand why the displayed trace is sampled

Frequently asked questions

Important Health Disclaimer

HealthWavy Smart Health Tools for Everyday Wellness

Normalised Power Analyzer

Power trace analysis workspace

Your power trace report

200 W · normalised estimate

Let’s work it out.

How to use Normalised Power Analyzer

Worked example

Formula, accuracy & limitations

Prepare a uniform power trace

Understand the complete-window convention

Compare implementation details before device totals

Understand why the displayed trace is sampled

Frequently asked questions

Related tools

Important Health Disclaimer